{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "## 支持向量机算法，任务1 - 和传统分类算法进行对比，SVM的效果如何？"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "81f562984836f96e"
  },
  {
   "cell_type": "markdown",
   "source": [
    "> 操作步骤\n",
    "1. 导入依赖"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "f2689d2edf340212"
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "outputs": [],
   "source": [
    "# 1. 导入相关依赖\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import datasets\n",
    "from sklearn.svm import SVC"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:13.990560Z",
     "start_time": "2024-08-29T07:47:13.876133400Z"
    }
   },
   "id": "5d99edd973d40dc1"
  },
  {
   "cell_type": "markdown",
   "source": [
    "2. 引入莺尾花数据集的全部样本，取2，3列数据，同时将问题转化为一个二分类任务"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "efd02dd629f895dd"
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "outputs": [],
   "source": [
    "data = datasets.load_iris() # 导入莺尾花数据集\n",
    "x = data.data[:, :2] # 取2，3列数据\n",
    "y = data.target # 目标变量\n",
    "setosa_or_versicolor = (y == 0) | (y == 1) # 选取两类样本,即0/1\n",
    "x = x[setosa_or_versicolor] # 选取两类样本的2，3列数据\n",
    "y = y[setosa_or_versicolor] # 选取两类样本的目标变量\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:14.043102900Z",
     "start_time": "2024-08-29T07:47:13.884130200Z"
    }
   },
   "id": "23b614f3355e3cc4"
  },
  {
   "cell_type": "markdown",
   "source": [
    "3. 构建分类器，即定义模型，进行训练"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "858bd86ac3d45b25"
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "outputs": [
    {
     "data": {
      "text/plain": "SVC(C=1000.0, kernel='linear')",
      "text/html": "<style>#sk-container-id-3 {\n  /* Definition of color scheme common for light and dark mode */\n  --sklearn-color-text: black;\n  --sklearn-color-line: gray;\n  /* Definition of color scheme for unfitted estimators */\n  --sklearn-color-unfitted-level-0: #fff5e6;\n  --sklearn-color-unfitted-level-1: #f6e4d2;\n  --sklearn-color-unfitted-level-2: #ffe0b3;\n  --sklearn-color-unfitted-level-3: chocolate;\n  /* Definition of color scheme for fitted estimators */\n  --sklearn-color-fitted-level-0: #f0f8ff;\n  --sklearn-color-fitted-level-1: #d4ebff;\n  --sklearn-color-fitted-level-2: #b3dbfd;\n  --sklearn-color-fitted-level-3: cornflowerblue;\n\n  /* Specific color for light theme */\n  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n  --sklearn-color-icon: #696969;\n\n  @media (prefers-color-scheme: dark) {\n    /* Redefinition of color scheme for dark theme */\n    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n    --sklearn-color-icon: #878787;\n  }\n}\n\n#sk-container-id-3 {\n  color: var(--sklearn-color-text);\n}\n\n#sk-container-id-3 pre {\n  padding: 0;\n}\n\n#sk-container-id-3 input.sk-hidden--visually {\n  border: 0;\n  clip: rect(1px 1px 1px 1px);\n  clip: rect(1px, 1px, 1px, 1px);\n  height: 1px;\n  margin: -1px;\n  overflow: hidden;\n  padding: 0;\n  position: absolute;\n  width: 1px;\n}\n\n#sk-container-id-3 div.sk-dashed-wrapped {\n  border: 1px dashed var(--sklearn-color-line);\n  margin: 0 0.4em 0.5em 0.4em;\n  box-sizing: border-box;\n  padding-bottom: 0.4em;\n  background-color: var(--sklearn-color-background);\n}\n\n#sk-container-id-3 div.sk-container {\n  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n     but bootstrap.min.css set `[hidden] { display: none !important; }`\n     so we also need the `!important` here to be able to override the\n     default hidden behavior on the sphinx rendered scikit-learn.org.\n     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n  display: inline-block !important;\n  position: relative;\n}\n\n#sk-container-id-3 div.sk-text-repr-fallback {\n  display: none;\n}\n\ndiv.sk-parallel-item,\ndiv.sk-serial,\ndiv.sk-item {\n  /* draw centered vertical line to link estimators */\n  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n  background-size: 2px 100%;\n  background-repeat: no-repeat;\n  background-position: center center;\n}\n\n/* Parallel-specific style estimator block */\n\n#sk-container-id-3 div.sk-parallel-item::after {\n  content: \"\";\n  width: 100%;\n  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n  flex-grow: 1;\n}\n\n#sk-container-id-3 div.sk-parallel {\n  display: flex;\n  align-items: stretch;\n  justify-content: center;\n  background-color: var(--sklearn-color-background);\n  position: relative;\n}\n\n#sk-container-id-3 div.sk-parallel-item {\n  display: flex;\n  flex-direction: column;\n}\n\n#sk-container-id-3 div.sk-parallel-item:first-child::after {\n  align-self: flex-end;\n  width: 50%;\n}\n\n#sk-container-id-3 div.sk-parallel-item:last-child::after {\n  align-self: flex-start;\n  width: 50%;\n}\n\n#sk-container-id-3 div.sk-parallel-item:only-child::after {\n  width: 0;\n}\n\n/* Serial-specific style estimator block */\n\n#sk-container-id-3 div.sk-serial {\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  background-color: var(--sklearn-color-background);\n  padding-right: 1em;\n  padding-left: 1em;\n}\n\n\n/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\nclickable and can be expanded/collapsed.\n- Pipeline and ColumnTransformer use this feature and define the default style\n- Estimators will overwrite some part of the style using the `sk-estimator` class\n*/\n\n/* Pipeline and ColumnTransformer style (default) */\n\n#sk-container-id-3 div.sk-toggleable {\n  /* Default theme specific background. It is overwritten whether we have a\n  specific estimator or a Pipeline/ColumnTransformer */\n  background-color: var(--sklearn-color-background);\n}\n\n/* Toggleable label */\n#sk-container-id-3 label.sk-toggleable__label {\n  cursor: pointer;\n  display: block;\n  width: 100%;\n  margin-bottom: 0;\n  padding: 0.5em;\n  box-sizing: border-box;\n  text-align: center;\n}\n\n#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n  /* Arrow on the left of the label */\n  content: \"▸\";\n  float: left;\n  margin-right: 0.25em;\n  color: var(--sklearn-color-icon);\n}\n\n#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n  color: var(--sklearn-color-text);\n}\n\n/* Toggleable content - dropdown */\n\n#sk-container-id-3 div.sk-toggleable__content {\n  max-height: 0;\n  max-width: 0;\n  overflow: hidden;\n  text-align: left;\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-0);\n}\n\n#sk-container-id-3 div.sk-toggleable__content.fitted {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-0);\n}\n\n#sk-container-id-3 div.sk-toggleable__content pre {\n  margin: 0.2em;\n  border-radius: 0.25em;\n  color: var(--sklearn-color-text);\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-0);\n}\n\n#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n  /* unfitted */\n  background-color: var(--sklearn-color-fitted-level-0);\n}\n\n#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n  /* Expand drop-down */\n  max-height: 200px;\n  max-width: 100%;\n  overflow: auto;\n}\n\n#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n  content: \"▾\";\n}\n\n/* Pipeline/ColumnTransformer-specific style */\n\n#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n  color: var(--sklearn-color-text);\n  background-color: var(--sklearn-color-unfitted-level-2);\n}\n\n#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n  background-color: var(--sklearn-color-fitted-level-2);\n}\n\n/* Estimator-specific style */\n\n/* Colorize estimator box */\n#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-2);\n}\n\n#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-2);\n}\n\n#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n#sk-container-id-3 div.sk-label label {\n  /* The background is the default theme color */\n  color: var(--sklearn-color-text-on-default-background);\n}\n\n/* On hover, darken the color of the background */\n#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n  color: var(--sklearn-color-text);\n  background-color: var(--sklearn-color-unfitted-level-2);\n}\n\n/* Label box, darken color on hover, fitted */\n#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n  color: var(--sklearn-color-text);\n  background-color: var(--sklearn-color-fitted-level-2);\n}\n\n/* Estimator label */\n\n#sk-container-id-3 div.sk-label label {\n  font-family: monospace;\n  font-weight: bold;\n  display: inline-block;\n  line-height: 1.2em;\n}\n\n#sk-container-id-3 div.sk-label-container {\n  text-align: center;\n}\n\n/* Estimator-specific */\n#sk-container-id-3 div.sk-estimator {\n  font-family: monospace;\n  border: 1px dotted var(--sklearn-color-border-box);\n  border-radius: 0.25em;\n  box-sizing: border-box;\n  margin-bottom: 0.5em;\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-0);\n}\n\n#sk-container-id-3 div.sk-estimator.fitted {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-0);\n}\n\n/* on hover */\n#sk-container-id-3 div.sk-estimator:hover {\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-2);\n}\n\n#sk-container-id-3 div.sk-estimator.fitted:hover {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-2);\n}\n\n/* Specification for estimator info (e.g. \"i\" and \"?\") */\n\n/* Common style for \"i\" and \"?\" */\n\n.sk-estimator-doc-link,\na:link.sk-estimator-doc-link,\na:visited.sk-estimator-doc-link {\n  float: right;\n  font-size: smaller;\n  line-height: 1em;\n  font-family: monospace;\n  background-color: var(--sklearn-color-background);\n  border-radius: 1em;\n  height: 1em;\n  width: 1em;\n  text-decoration: none !important;\n  margin-left: 1ex;\n  /* unfitted */\n  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n  color: var(--sklearn-color-unfitted-level-1);\n}\n\n.sk-estimator-doc-link.fitted,\na:link.sk-estimator-doc-link.fitted,\na:visited.sk-estimator-doc-link.fitted {\n  /* fitted */\n  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n  color: var(--sklearn-color-fitted-level-1);\n}\n\n/* On hover */\ndiv.sk-estimator:hover .sk-estimator-doc-link:hover,\n.sk-estimator-doc-link:hover,\ndiv.sk-label-container:hover .sk-estimator-doc-link:hover,\n.sk-estimator-doc-link:hover {\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-3);\n  color: var(--sklearn-color-background);\n  text-decoration: none;\n}\n\ndiv.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n.sk-estimator-doc-link.fitted:hover,\ndiv.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n.sk-estimator-doc-link.fitted:hover {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-3);\n  color: var(--sklearn-color-background);\n  text-decoration: none;\n}\n\n/* Span, style for the box shown on hovering the info icon */\n.sk-estimator-doc-link span {\n  display: none;\n  z-index: 9999;\n  position: relative;\n  font-weight: normal;\n  right: .2ex;\n  padding: .5ex;\n  margin: .5ex;\n  width: min-content;\n  min-width: 20ex;\n  max-width: 50ex;\n  color: var(--sklearn-color-text);\n  box-shadow: 2pt 2pt 4pt #999;\n  /* unfitted */\n  background: var(--sklearn-color-unfitted-level-0);\n  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n}\n\n.sk-estimator-doc-link.fitted span {\n  /* fitted */\n  background: var(--sklearn-color-fitted-level-0);\n  border: var(--sklearn-color-fitted-level-3);\n}\n\n.sk-estimator-doc-link:hover span {\n  display: block;\n}\n\n/* \"?\"-specific style due to the `<a>` HTML tag */\n\n#sk-container-id-3 a.estimator_doc_link {\n  float: right;\n  font-size: 1rem;\n  line-height: 1em;\n  font-family: monospace;\n  background-color: var(--sklearn-color-background);\n  border-radius: 1rem;\n  height: 1rem;\n  width: 1rem;\n  text-decoration: none;\n  /* unfitted */\n  color: var(--sklearn-color-unfitted-level-1);\n  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n}\n\n#sk-container-id-3 a.estimator_doc_link.fitted {\n  /* fitted */\n  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n  color: var(--sklearn-color-fitted-level-1);\n}\n\n/* On hover */\n#sk-container-id-3 a.estimator_doc_link:hover {\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-3);\n  color: var(--sklearn-color-background);\n  text-decoration: none;\n}\n\n#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-3);\n}\n</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(C=1000.0, kernel=&#x27;linear&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" checked><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;SVC<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.svm.SVC.html\">?<span>Documentation for SVC</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>SVC(C=1000.0, kernel=&#x27;linear&#x27;)</pre></div> </div></div></div></div>"
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "svm_clf = SVC(kernel='linear', C=float('1000')) # 定义SVM分类器 c无穷大,即严格划分超平面\n",
    "svm_clf.fit(x, y) # 训练模型"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:14.055087900Z",
     "start_time": "2024-08-29T07:47:13.900666600Z"
    }
   },
   "id": "aa231359f126464e"
  },
  {
   "cell_type": "markdown",
   "source": [
    "4. 绘图展示，绘制决策边界"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "b299d2cf0a9c77db"
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1400x400 with 2 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2. 定义对比的分类器\n",
    "x0 = np.linspace(4, 7, 200)\n",
    "pred_1 = 5*x0 - 20 # 预测函数1\n",
    "pred_2 = x0 - 1.8 # 预测函数2\n",
    "pred_3 = 0.1*x0 + 0.5 # 预测函数3\n",
    "\n",
    "# 2. 定义绘制决策边界函数\n",
    "def plot_svc_decision_boundary(svm_clf, xmin, xmax,sv = True):\n",
    "    w = svm_clf.coef_[0] # 权重向量x\n",
    "    b = svm_clf.intercept_[0] # 偏置项b\n",
    "    x0 = np.linspace(xmin, xmax, 200) # 定义x轴范围\n",
    "    decision_boundary = -w[0]/w[1] * x0 - b/w[1] # 决策边界,ax+by+c=0\n",
    "    margin = 1/np.sqrt(np.sum(w**2)) # 边界与样本的最小距离\n",
    "    # 2.1 绘制支持向量\n",
    "    if sv:\n",
    "        support_vectors = svm_clf.support_vectors_\n",
    "        plt.scatter(support_vectors[:, 0], support_vectors[:, 1], s=100, facecolors='none', zorder=10, edgecolors='k')\n",
    "    # 2.2 绘制决策边界,以及最小点的决策边界\n",
    "    plt.plot(x0, decision_boundary, 'k-', linewidth=2)\n",
    "    gutter_up = decision_boundary + margin\n",
    "    gutter_down = decision_boundary - margin\n",
    "    plt.plot(x0, gutter_up, 'k--', linewidth=2)\n",
    "    plt.plot(x0, gutter_down, 'k--', linewidth=2)\n",
    "\n",
    "# 3. 绘制决策边界\n",
    "plt.figure(figsize=(14,4))\n",
    "plt.subplot(121)\n",
    "plt.title(\"common decision boundary\")\n",
    "plt.plot(x[:, 0][y==1], x[:, 1][y==1], \"bo\") # 绘制两类样本点\n",
    "plt.plot(x[:, 0][y==0], x[:, 1][y==0], \"ms\")\n",
    "plt.plot(x0, pred_1, \"g--\", linewidth=2)\n",
    "plt.plot(x0, pred_2, \"r--\", linewidth=2)\n",
    "plt.plot(x0, pred_3, \"b--\", linewidth=2)\n",
    "plt.axis([4, 7, 1, 4])\n",
    "plt.subplot(122)\n",
    "plt.plot(x[:, 0][y==1], x[:, 1][y==1], \"bo\") # 绘制两类样本点\n",
    "plt.plot(x[:, 0][y==0], x[:, 1][y==0], \"ms\")\n",
    "plot_svc_decision_boundary(svm_clf, 4, 7) # 绘制决策边界\n",
    "plt.axis([4, 7, 1, 4])\n",
    "plt.show()\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:14.114776900Z",
     "start_time": "2024-08-29T07:47:13.919758700Z"
    }
   },
   "id": "95fb79c10de254d3"
  },
  {
   "cell_type": "markdown",
   "source": [
    "> 验证C值的作用"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "731b178f7e231e92"
  },
  {
   "cell_type": "markdown",
   "source": [
    "1. 导入依赖，管道，SVM，数据集，预处理"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "d06922b1b5b69ea8"
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import datasets\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.svm import SVC"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:14.178051Z",
     "start_time": "2024-08-29T07:47:14.116770200Z"
    }
   },
   "id": "42be890b50edc4d"
  },
  {
   "cell_type": "markdown",
   "source": [
    "2. 定义流水线，设置不同c值"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "7534410b9bbeb24a"
  },
  {
   "cell_type": "markdown",
   "source": [],
   "metadata": {
    "collapsed": false
   },
   "id": "badd971917667689"
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "outputs": [],
   "source": [
    "from sklearn.svm import LinearSVC\n",
    "\n",
    "# 1. 导入数据集\n",
    "iris = datasets.load_iris()\n",
    "x = iris.data[:, :2]\n",
    "y = (iris.target==2).astype(np.float64)\n",
    "\n",
    "# 2. 定义流水线\n",
    "svm_clf_1 = LinearSVC(C=1, random_state=42)\n",
    "svm_clf_2 = LinearSVC(C=100, random_state=42)\n",
    "std = StandardScaler()\n",
    "svm_clf_1_pipe = Pipeline([\n",
    "    ('scaler', std),\n",
    "    ('linear_svc', svm_clf_1)\n",
    "])\n",
    "svm_clf_2_pipe = Pipeline([\n",
    "    ('scaler', std),\n",
    "    ('linear_svc', svm_clf_2)\n",
    "])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:14.178051Z",
     "start_time": "2024-08-29T07:47:14.130600100Z"
    }
   },
   "id": "70fb6207ba3224e5"
  },
  {
   "cell_type": "markdown",
   "source": [
    "3. 训练模型，结果展示"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "d8da871976f164f6"
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\python\\python-3.9.5\\lib\\site-packages\\sklearn\\svm\\_classes.py:31: FutureWarning: The default value of `dual` will change from `True` to `'auto'` in 1.5. Set the value of `dual` explicitly to suppress the warning.\n",
      "  warnings.warn(\n",
      "d:\\python\\python-3.9.5\\lib\\site-packages\\sklearn\\svm\\_classes.py:31: FutureWarning: The default value of `dual` will change from `True` to `'auto'` in 1.5. Set the value of `dual` explicitly to suppress the warning.\n",
      "  warnings.warn(\n",
      "d:\\python\\python-3.9.5\\lib\\site-packages\\sklearn\\svm\\_base.py:1237: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 1400x400 with 2 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3.1 训练模型\n",
    "svm_clf_1_pipe.fit(x, y)\n",
    "svm_clf_2_pipe.fit(x, y)\n",
    "\n",
    "# 3.2 修改决策边界函数,将其与标准化之后的数据对齐\n",
    "b1 = svm_clf_1.decision_function([-std.mean_ / std.scale_]) # 预测边界位置,[-std.mean_ / std.scale_]为标准化之后的零点位置\n",
    "b2 = svm_clf_2.decision_function([-std.mean_ / std.scale_])\n",
    "w1 = svm_clf_1.coef_[0] / std.scale_    # 预测函数系数,除以标准差\n",
    "w2 = svm_clf_2.coef_[0] / std.scale_\n",
    "svm_clf_1.intercept_ = np.array([b1]) # 修改偏置项,使其通过标准化之后的零点\n",
    "svm_clf_2.intercept_ = np.array([b2])\n",
    "svm_clf_1.coef_ = np.array([w1])  # 修改权重项\n",
    "svm_clf_2.coef_ = np.array([w2])\n",
    "\n",
    "# 3.3 绘制决策边界\n",
    "plt.figure(figsize=(14,4))\n",
    "plt.subplot(121)\n",
    "plt.title(\"SVM with C=1\")\n",
    "plt.plot(x[:, 0][y==1], x[:, 1][y==1], \"bo\") # 绘制两类样本点\n",
    "plt.plot(x[:, 0][y==0], x[:, 1][y==0], \"ms\")\n",
    "plot_svc_decision_boundary(svm_clf_1, 4, 7,sv=False) # 绘制决策边界\n",
    "plt.axis([4, 7, 1, 4])\n",
    "plt.subplot(122)\n",
    "plt.title(\"SVM with C=100\")\n",
    "plt.plot(x[:, 0][y==1], x[:, 1][y==1], \"bo\") # 绘制两类样本点\n",
    "plt.plot(x[:, 0][y==0], x[:, 1][y==0], \"ms\")\n",
    "plot_svc_decision_boundary(svm_clf_2, 4, 7,sv=False) # 绘制决策边界\n",
    "plt.axis([4, 7, 1, 4])\n",
    "plt.show()\n",
    "\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:14.317429800Z",
     "start_time": "2024-08-29T07:47:14.149928Z"
    }
   },
   "id": "a2cb9d6ed7ea7"
  },
  {
   "cell_type": "markdown",
   "source": [
    "> 非线性展示\n",
    "1. 修改数据,实现非线性分类"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "ed784d0470b94552"
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "outputs": [],
   "source": [
    "# 1. 定义数据\n",
    "\n",
    "# 1.1 导入数据集\n",
    "from sklearn.datasets import make_moons\n",
    "X, y = make_moons(n_samples=200, noise=0.2, random_state=42)\n",
    "\n",
    "# 1.2 绘制数据函数\n",
    "def plot_data(X, y,axis):\n",
    "    plt.scatter(X[:, 0], X[:, 1], c=y)\n",
    "    plt.axis(axis)\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:14.389615300Z",
     "start_time": "2024-08-29T07:47:14.320445200Z"
    }
   },
   "id": "4836fa44f8bd77f3"
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\python\\python-3.9.5\\lib\\site-packages\\sklearn\\svm\\_classes.py:31: FutureWarning: The default value of `dual` will change from `True` to `'auto'` in 1.5. Set the value of `dual` explicitly to suppress the warning.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": "Pipeline(steps=[('poly', PolynomialFeatures(degree=3)),\n                ('scaler', StandardScaler()),\n                ('linear_svc', LinearSVC(C=1, loss='hinge', random_state=42))])",
      "text/html": "<style>#sk-container-id-4 {\n  /* Definition of color scheme common for light and dark mode */\n  --sklearn-color-text: black;\n  --sklearn-color-line: gray;\n  /* Definition of color scheme for unfitted estimators */\n  --sklearn-color-unfitted-level-0: #fff5e6;\n  --sklearn-color-unfitted-level-1: #f6e4d2;\n  --sklearn-color-unfitted-level-2: #ffe0b3;\n  --sklearn-color-unfitted-level-3: chocolate;\n  /* Definition of color scheme for fitted estimators */\n  --sklearn-color-fitted-level-0: #f0f8ff;\n  --sklearn-color-fitted-level-1: #d4ebff;\n  --sklearn-color-fitted-level-2: #b3dbfd;\n  --sklearn-color-fitted-level-3: cornflowerblue;\n\n  /* Specific color for light theme */\n  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n  --sklearn-color-icon: #696969;\n\n  @media (prefers-color-scheme: dark) {\n    /* Redefinition of color scheme for dark theme */\n    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n    --sklearn-color-icon: #878787;\n  }\n}\n\n#sk-container-id-4 {\n  color: var(--sklearn-color-text);\n}\n\n#sk-container-id-4 pre {\n  padding: 0;\n}\n\n#sk-container-id-4 input.sk-hidden--visually {\n  border: 0;\n  clip: rect(1px 1px 1px 1px);\n  clip: rect(1px, 1px, 1px, 1px);\n  height: 1px;\n  margin: -1px;\n  overflow: hidden;\n  padding: 0;\n  position: absolute;\n  width: 1px;\n}\n\n#sk-container-id-4 div.sk-dashed-wrapped {\n  border: 1px dashed var(--sklearn-color-line);\n  margin: 0 0.4em 0.5em 0.4em;\n  box-sizing: border-box;\n  padding-bottom: 0.4em;\n  background-color: var(--sklearn-color-background);\n}\n\n#sk-container-id-4 div.sk-container {\n  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n     but bootstrap.min.css set `[hidden] { display: none !important; }`\n     so we also need the `!important` here to be able to override the\n     default hidden behavior on the sphinx rendered scikit-learn.org.\n     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n  display: inline-block !important;\n  position: relative;\n}\n\n#sk-container-id-4 div.sk-text-repr-fallback {\n  display: none;\n}\n\ndiv.sk-parallel-item,\ndiv.sk-serial,\ndiv.sk-item {\n  /* draw centered vertical line to link estimators */\n  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n  background-size: 2px 100%;\n  background-repeat: no-repeat;\n  background-position: center center;\n}\n\n/* Parallel-specific style estimator block */\n\n#sk-container-id-4 div.sk-parallel-item::after {\n  content: \"\";\n  width: 100%;\n  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n  flex-grow: 1;\n}\n\n#sk-container-id-4 div.sk-parallel {\n  display: flex;\n  align-items: stretch;\n  justify-content: center;\n  background-color: var(--sklearn-color-background);\n  position: relative;\n}\n\n#sk-container-id-4 div.sk-parallel-item {\n  display: flex;\n  flex-direction: column;\n}\n\n#sk-container-id-4 div.sk-parallel-item:first-child::after {\n  align-self: flex-end;\n  width: 50%;\n}\n\n#sk-container-id-4 div.sk-parallel-item:last-child::after {\n  align-self: flex-start;\n  width: 50%;\n}\n\n#sk-container-id-4 div.sk-parallel-item:only-child::after {\n  width: 0;\n}\n\n/* Serial-specific style estimator block */\n\n#sk-container-id-4 div.sk-serial {\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  background-color: var(--sklearn-color-background);\n  padding-right: 1em;\n  padding-left: 1em;\n}\n\n\n/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\nclickable and can be expanded/collapsed.\n- Pipeline and ColumnTransformer use this feature and define the default style\n- Estimators will overwrite some part of the style using the `sk-estimator` class\n*/\n\n/* Pipeline and ColumnTransformer style (default) */\n\n#sk-container-id-4 div.sk-toggleable {\n  /* Default theme specific background. It is overwritten whether we have a\n  specific estimator or a Pipeline/ColumnTransformer */\n  background-color: var(--sklearn-color-background);\n}\n\n/* Toggleable label */\n#sk-container-id-4 label.sk-toggleable__label {\n  cursor: pointer;\n  display: block;\n  width: 100%;\n  margin-bottom: 0;\n  padding: 0.5em;\n  box-sizing: border-box;\n  text-align: center;\n}\n\n#sk-container-id-4 label.sk-toggleable__label-arrow:before {\n  /* Arrow on the left of the label */\n  content: \"▸\";\n  float: left;\n  margin-right: 0.25em;\n  color: var(--sklearn-color-icon);\n}\n\n#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {\n  color: var(--sklearn-color-text);\n}\n\n/* Toggleable content - dropdown */\n\n#sk-container-id-4 div.sk-toggleable__content {\n  max-height: 0;\n  max-width: 0;\n  overflow: hidden;\n  text-align: left;\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-0);\n}\n\n#sk-container-id-4 div.sk-toggleable__content.fitted {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-0);\n}\n\n#sk-container-id-4 div.sk-toggleable__content pre {\n  margin: 0.2em;\n  border-radius: 0.25em;\n  color: var(--sklearn-color-text);\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-0);\n}\n\n#sk-container-id-4 div.sk-toggleable__content.fitted pre {\n  /* unfitted */\n  background-color: var(--sklearn-color-fitted-level-0);\n}\n\n#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n  /* Expand drop-down */\n  max-height: 200px;\n  max-width: 100%;\n  overflow: auto;\n}\n\n#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n  content: \"▾\";\n}\n\n/* Pipeline/ColumnTransformer-specific style */\n\n#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n  color: var(--sklearn-color-text);\n  background-color: var(--sklearn-color-unfitted-level-2);\n}\n\n#sk-container-id-4 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n  background-color: var(--sklearn-color-fitted-level-2);\n}\n\n/* Estimator-specific style */\n\n/* Colorize estimator box */\n#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-2);\n}\n\n#sk-container-id-4 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-2);\n}\n\n#sk-container-id-4 div.sk-label label.sk-toggleable__label,\n#sk-container-id-4 div.sk-label label {\n  /* The background is the default theme color */\n  color: var(--sklearn-color-text-on-default-background);\n}\n\n/* On hover, darken the color of the background */\n#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {\n  color: var(--sklearn-color-text);\n  background-color: var(--sklearn-color-unfitted-level-2);\n}\n\n/* Label box, darken color on hover, fitted */\n#sk-container-id-4 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n  color: var(--sklearn-color-text);\n  background-color: var(--sklearn-color-fitted-level-2);\n}\n\n/* Estimator label */\n\n#sk-container-id-4 div.sk-label label {\n  font-family: monospace;\n  font-weight: bold;\n  display: inline-block;\n  line-height: 1.2em;\n}\n\n#sk-container-id-4 div.sk-label-container {\n  text-align: center;\n}\n\n/* Estimator-specific */\n#sk-container-id-4 div.sk-estimator {\n  font-family: monospace;\n  border: 1px dotted var(--sklearn-color-border-box);\n  border-radius: 0.25em;\n  box-sizing: border-box;\n  margin-bottom: 0.5em;\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-0);\n}\n\n#sk-container-id-4 div.sk-estimator.fitted {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-0);\n}\n\n/* on hover */\n#sk-container-id-4 div.sk-estimator:hover {\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-2);\n}\n\n#sk-container-id-4 div.sk-estimator.fitted:hover {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-2);\n}\n\n/* Specification for estimator info (e.g. \"i\" and \"?\") */\n\n/* Common style for \"i\" and \"?\" */\n\n.sk-estimator-doc-link,\na:link.sk-estimator-doc-link,\na:visited.sk-estimator-doc-link {\n  float: right;\n  font-size: smaller;\n  line-height: 1em;\n  font-family: monospace;\n  background-color: var(--sklearn-color-background);\n  border-radius: 1em;\n  height: 1em;\n  width: 1em;\n  text-decoration: none !important;\n  margin-left: 1ex;\n  /* unfitted */\n  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n  color: var(--sklearn-color-unfitted-level-1);\n}\n\n.sk-estimator-doc-link.fitted,\na:link.sk-estimator-doc-link.fitted,\na:visited.sk-estimator-doc-link.fitted {\n  /* fitted */\n  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n  color: var(--sklearn-color-fitted-level-1);\n}\n\n/* On hover */\ndiv.sk-estimator:hover .sk-estimator-doc-link:hover,\n.sk-estimator-doc-link:hover,\ndiv.sk-label-container:hover .sk-estimator-doc-link:hover,\n.sk-estimator-doc-link:hover {\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-3);\n  color: var(--sklearn-color-background);\n  text-decoration: none;\n}\n\ndiv.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n.sk-estimator-doc-link.fitted:hover,\ndiv.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n.sk-estimator-doc-link.fitted:hover {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-3);\n  color: var(--sklearn-color-background);\n  text-decoration: none;\n}\n\n/* Span, style for the box shown on hovering the info icon */\n.sk-estimator-doc-link span {\n  display: none;\n  z-index: 9999;\n  position: relative;\n  font-weight: normal;\n  right: .2ex;\n  padding: .5ex;\n  margin: .5ex;\n  width: min-content;\n  min-width: 20ex;\n  max-width: 50ex;\n  color: var(--sklearn-color-text);\n  box-shadow: 2pt 2pt 4pt #999;\n  /* unfitted */\n  background: var(--sklearn-color-unfitted-level-0);\n  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n}\n\n.sk-estimator-doc-link.fitted span {\n  /* fitted */\n  background: var(--sklearn-color-fitted-level-0);\n  border: var(--sklearn-color-fitted-level-3);\n}\n\n.sk-estimator-doc-link:hover span {\n  display: block;\n}\n\n/* \"?\"-specific style due to the `<a>` HTML tag */\n\n#sk-container-id-4 a.estimator_doc_link {\n  float: right;\n  font-size: 1rem;\n  line-height: 1em;\n  font-family: monospace;\n  background-color: var(--sklearn-color-background);\n  border-radius: 1rem;\n  height: 1rem;\n  width: 1rem;\n  text-decoration: none;\n  /* unfitted */\n  color: var(--sklearn-color-unfitted-level-1);\n  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n}\n\n#sk-container-id-4 a.estimator_doc_link.fitted {\n  /* fitted */\n  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n  color: var(--sklearn-color-fitted-level-1);\n}\n\n/* On hover */\n#sk-container-id-4 a.estimator_doc_link:hover {\n  /* unfitted */\n  background-color: var(--sklearn-color-unfitted-level-3);\n  color: var(--sklearn-color-background);\n  text-decoration: none;\n}\n\n#sk-container-id-4 a.estimator_doc_link.fitted:hover {\n  /* fitted */\n  background-color: var(--sklearn-color-fitted-level-3);\n}\n</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;poly&#x27;, PolynomialFeatures(degree=3)),\n                (&#x27;scaler&#x27;, StandardScaler()),\n                (&#x27;linear_svc&#x27;, LinearSVC(C=1, loss=&#x27;hinge&#x27;, random_state=42))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;Pipeline<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>Pipeline(steps=[(&#x27;poly&#x27;, PolynomialFeatures(degree=3)),\n                (&#x27;scaler&#x27;, StandardScaler()),\n                (&#x27;linear_svc&#x27;, LinearSVC(C=1, loss=&#x27;hinge&#x27;, random_state=42))])</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;PolynomialFeatures<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.preprocessing.PolynomialFeatures.html\">?<span>Documentation for PolynomialFeatures</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>PolynomialFeatures(degree=3)</pre></div> </div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;StandardScaler<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>StandardScaler()</pre></div> </div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" ><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;LinearSVC<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.svm.LinearSVC.html\">?<span>Documentation for LinearSVC</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>LinearSVC(C=1, loss=&#x27;hinge&#x27;, random_state=42)</pre></div> </div></div></div></div></div></div>"
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#2. 定义流水线，设置特征变换维度、标准化、支持向量机\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "\n",
    "#2.1 定义流水线\n",
    "poly_svm_clf = Pipeline([\n",
    "    ('poly', PolynomialFeatures(degree=3)),\n",
    "    ('scaler', StandardScaler()),\n",
    "    ('linear_svc', LinearSVC(C=1, loss='hinge', random_state=42))\n",
    "])\n",
    "\n",
    "#2.2 训练模型\n",
    "poly_svm_clf.fit(X, y)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:14.395763300Z",
     "start_time": "2024-08-29T07:47:14.332833800Z"
    }
   },
   "id": "498755da509f6129"
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3. 绘制决策边界\n",
    "\n",
    "#3.1 定义绘制决策边界函数\n",
    "def plot_predictions(clf, axis):\n",
    "    x0s = np.linspace(axis[0], axis[1], 100)\n",
    "    x1s = np.linspace(axis[2], axis[3], 100)\n",
    "    x0, x1 = np.meshgrid(x0s, x1s)\n",
    "    X = np.c_[x0.ravel(), x1.ravel()]\n",
    "    y_pred = clf.predict(X).reshape(x0.shape)\n",
    "    plt.contourf(x0, x1, y_pred, cmap=plt.cm.brg, alpha=0.2)\n",
    "\n",
    "# 3.2 绘制决策边界\n",
    "plot_predictions(poly_svm_clf, [-1.5, 2.5, -1, 1.5])\n",
    "plot_data(X, y, [-1.5, 2.5, -1, 1.5])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:14.458202600Z",
     "start_time": "2024-08-29T07:47:14.346876900Z"
    }
   },
   "id": "12d77c1733778560"
  },
  {
   "cell_type": "markdown",
   "source": [
    "2. 使用高斯核函数,实现非线性分类"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "8f8404c2575ffb00"
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjoAAAGiCAYAAADulWxzAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAADRu0lEQVR4nOzdd3xUZdbA8d+90zLpDRISWggt9N57VbAginXtoq6ra1t3Rd/VdRuurr2XtfeKBRQBRXrvGEpCgPTeM5l27/vHkJCQmcmkzGSSPN/PB5GZO/eeQDJz7lPOkVRVVREEQRAEQeiA5LYOQBAEQRAEwVtEoiMIgiAIQoclEh1BEARBEDoskegIgiAIgtBhiURHEARBEIQOSyQ6giAIgiB0WCLREQRBEAShwxKJjiAIgiAIHZZIdARBEARB6LBEoiMIgiAIQofl1URnw4YNXHjhhcTFxSFJEitWrHB7/Pr165EkqcGvnJwcb4YpCIIgCEIH5dVEp7KykuHDh/PSSy816XVHjx4lOzu79lfXrl29FKEgCIIgCB2Z1psnP//88zn//POb/LquXbsSHh7e+gEJgiAIgtCpeDXRaa4RI0ZgNpsZMmQIf/vb35g8ebLLY81mM2azufbPiqJQVFREVFQUkiT5IlxBEARBEFpIVVXKy8uJi4tDlltvwsmvEp1u3brx6quvMmbMGMxmM2+++SYzZsxg+/btjBo1yulrli9fzmOPPebjSAVBEARB8Ib09HS6d+/eaueTVFVVW+1s7i4kSXz99dcsWrSoSa+bPn06PXv25P3333f6/LkjOqWlpfTs2ZO1K1MICgppSciC0G5UlVXyj4vudXuMrJEZOXcClz14g2+CEgRBaILKynLmLOxLSUkJYWFhrXZevxrRcWbcuHFs2rTJ5fMGgwGDwdDg8aCgEIKDQ70ZmiD4jQC9EZ3GgKooLo+RJZmwyEjxcyEIgl9r7WUnfl9HZ9++fXTr1q2twxAEv6bV6xg6fRSyxvWPtGJXGDVvgg+jEgRBaHteHdGpqKggJSWl9s9paWns27ePyMhIevbsybJly8jMzOS9994D4NlnnyUhIYHBgwdTXV3Nm2++yc8//8xPP/3kzTAFoUOYe/PFHN60D0lROXdGWpIlBkwYSs/BiW0UnSAIQtvw6ojOrl27GDlyJCNHjgTgvvvuY+TIkTzyyCMAZGdnc/r06drjLRYL999/P0OHDmX69Ons37+ftWvXMnv2bG+GKQgdQvcBvbntuT8RFO5YmyZrNEiyYwh46IzR3LD8LrETURCETsdni5F9paysjLCwMLauzxVrEYROyW6zcXjDXrJTM9AH6Bk8bRRde4npX0EQ/FtFRRkTZ8RQWlpKaGjrfX77/WJkQRCaRqPVMmzWWIbNGtvWoQiCILQ5v1+MLAiCIAiC0Fwi0REEQRAEocMSiY4gCIIgCB2WSHQEQRAEQeiwRKIjCIIgCEKHJRIdQRAEQRA6LLG9XBCcKMouYNfKTZTkFRESGcbo8yeJWjSCIAjtkEh0BKEOVVVZ+dJnrHvveyRJdlQWVlV++t8KJl4yk0v/fD0araatwxQEQRA8JKauBKGO9R+sYt2734MKqqKg2OwodkdH8K0rfmHly5+3cYSCIAhCU4hERxDOsFmsrHn7W9cHqLDxk9WYyit9F5QgCILQIiLREYQz0vYfw1Re5fYYm9VG8tYDPopIEARBaCmR6AjCGWaT2aPjLB4eJwiCILQ9kegIwhkxCfEeHRfbp7uXIxEEQRBai0h0BOGMLj1i6DsmCVnj/MdCkmVi+8TTa0iijyMTBEEQmkskOoJQx+UP3UxAcGCDZEfWyOgMOq5+7HYkSWqj6ARBEISmEnV0BKGOLj1iuP/9f/DTmyvY/cNmbFYbskbD8DnjmH/LImJ6x7V1iD6lKApHth5g24r15J/OITgilDELJjNy3kT0Afq2Dk8QBKFRkqqqalsH0ZrKysoICwtj6/pcgoND2zocoR2zmi1UlVdhDA7slB/qdpuNdx96iYO/7ELWyCh2BUmSUFWVrr278YdXHiI0OrytwxQEoYOoqChj4owYSktLCQ1tvc9vMXUlCC7oDHrCosM7ZZIDsPqNFRxavxugtmhizX1RQXou7z38UpvFVllaQcruZFL3HsVSbWmzOARB8H9i6koQhAasZgsbP/0JVwO+il0hdc8RMo+dIr5/L5/FVV1hYsWzH7Jr1WbsVhsAhqAApl0xj/lLL0GjFW9pgiDUJ0Z0BEFoICslnepKk/uDJEjZleybgABLtYWXfv9vdny3sTbJATBXVrPm7e/44K+vuEzMBEHovESiIwhCAzVTVW6pjpEfX9n2zXoyjp5CVZzEpqrsW7uDlF2/+SweQRDaB5HoCILQgGK3e3acs6TDS7Z+/Qu4GbGRNTJbv/nVZ/EIgtA+iERHEIQGrGarR8cZgwO9HMlZxdkFbp9X7ApFmXk+ikYQhPZCrNwThCawWW3kpmWCCl17d0Nn6Jg7siJjoz07Lq6LlyM5Kyg8BHNVtcvnJVkmOFKUlBAEoT6R6AiCB+w2O+ve/Y4NH6+msrQCgIAgI1OWzGH+0kvQ6nVtHGHr6tq7G72H9uXkoRRwMVsUHBHKwInDfBbT2Aum8NObK1AV5wGpisKYBVN8Fo8gCO2DmLoShEaoqsqHj7zKD699WZvkAFRXmlj37ve8ef8z2G2erWnxJ6bySn79eDVvPfAsbz3wLOs/+oGqssra5y/507Xo9Dokuf7bhCRJSJLEkmU3otFqfBbvlCVzCYkKc9qLTNbI9BiUwNDpo3wWjyAI7YNIdAShEUe2HmTvmm1ORzZUVeXotoPsW7vd94G1QMruZB674B5WPPMBB3/dzcFfd/Ptsx/z2AV3c3znYQB6DurDXW/8lYTh/eq9NqZPPEufuZ9hM8f4NObg8BDuev2vtXV76vYcS5o0jNtf+IuooyMIQgOiBYTQ6SiKgs1iRWfQe9Sg860HnuXwxr0ut1xLskTC8P7c9fr/NXjObrPx2+b95J3KJiAwgCEzxhDWxm0TSnKLWH7ZA1jN1gZ1ZyRJQqvX8eDn/yGy29l1OgUZeZTkFhIUHkJsn/g2b2x6+rcTnDqUiqyR6T92MF16xrZpPIIgtJy3WkCI2x+h0yjKymfde9+za+UmLNUWDEFGJlw8nVnXLnTbsynvVI7bujKqopJ/OqfB40e2HuCjv71OeVGpo1eUovDlk+8zafFMLrn/d202+rDlq3VYLTanxfVUVcVutbH5i3VceNcVtY9Hd+9KdPeuvgzTrZ6D+tBzUJ+2DkMQhHZATF0JnULOiUz++7v/Y9uK9bW9kcyVJjZ++hNPXfcIxTmuty4HhQVDIyMYgaFB9f6ctv8Yb9z7FBXFZcCZAnyqY8Hsli9/5ovH32nZF9QCB9fvcV507wxFUTi0YbcPIxIEQfAekegIncKHj76Kuaq6wciMYleoKCrls+Vvu3zt6PMnuS1UJ0kSY86fXO+xH177ClXF5ajJtm9+pSAjt4lfReuwWRuvkWOzeFZHRxAEwd+JREfo8NKT08g4ctLl9JNiVziy5QBFWflOnx99/iSi4ru63O0TEhXGxEtm1j5WUVLO8Z2H3Y6ayLLM3jVts4C515BEp19LDVkj02tIXx9GJAiC4D0i0RE6vMxjpzw6Ljs1w+njBmMAd772MN0H9AYcSUpNotC1VzfufO1hgsJDao831dmi7YokS1SVVDR6nDdMWTLX7Zojxa4wZckcH0YkCILgPWIxstDheVq92F3Rv/CYSO5552+cPpzK8Z2/oQJ9hvenz8gBDXYghUSFodFq3NbWUewKkfG+qypcV++hfTn/9kv54dUvkWS5duSp5v/nL72EPiMGtElsgiAIrU0kOkKHN2DC0EYTD0NQAAnD+7s9jyRJ9BrSt9FpnYAgIyPnTWDP6q0uR05krYZR8yc2HryXzLt5Ed0H9mb9hz+QuucIAH1GDmD6VecxZJoouicIQschEh2hwwsOD2HCJTPZ8sU6p4uDAWZeswB9QOv1rVrw+8s4svUAVWWVTpOdRfdc7djN1YYGTR7BoMkjav9O2ro2jiAIgjeINTpCp7Do3msYPmcc4FhsK8lS7TqbSZfOYu7NF7fq9SJio7n3nccYPHUkknw2gYjq3pVr/3kHUy6f26rXa4malg6CIAgdkaiMLHQqp387wa5Vm6koKiWsayTjLpxGt8TuXr1mWUEJhZl5GIKMdEvsLpIKQRAEJ0RlZEFoBW1RUTc0Otxt5eWOorK0gp0rN3L68AlkjYakiUMZPntch+vsLghC+yISHUEQWuzQhj2899CL2Cw2kBzTYbt/2Mx3L3zK7S/+hdg+8W0doiAInZRYoyMIQotkpaTz9p+fx2pxNAlVFbV2AXZ5YSkv37Ecc1V1G0cpCEJnJRIdQRBa5NePfsTRyKvhc4qiUF5Yyp7VW30elyAIAohERxCEFjq4fpfbSstIEgd/FU1CBUFoG2KNjiAILWKz2NwfoKpYz3SMr5FzIpO0/ceQJInE0Ul06RHjxQgFQejMRKIjCEKLxPXvyenDqaiK80oVskam+8DeAJTmF/PBX18hZXdyvWMGTRnB1Y/eWq9nmCAIQmsQU1eCILTI1MvnukxywLFOZ9LiWVRXmHjh1n9yYt/RBscc2XqAl+9Yjs1i9WaogiB0QiLREQShRUbOm8Do8yY5/lCnGKIkO95eLrn/Wrr0jGXbt+spysx3up5HsStkHU9n75rtPolZEITOQyQ6giC0iCzLXP3YbVzxfzefrZcjQd/RSdz2wp+ZdsU8AHZ8txHV2dasMyRJYsf3G3wRsiAInYhYoyN0OJZqCwd+3kl2ajq6AD1Dp48mvn+vtg6rQ5NlmQkXz2DCxTOwWW3IslzbS6xGRXGZ0y3oNVRVpbywzMuRCoLQ2YhER+hQftu8jw/+7xVMFVVotBpUVWX1618zcOIwrvv3HzAGB7Z1iB2eVuf8bSUiNoqKojKXHeQlWSYyLtqbofmt7JR0jm4/hN1up9fgRBJHDRQ90QShlYhER+gwTh8+wf/ufxZFcawBsdvstc8d3X6Itx94jt+//KD4AGkjEy+ZyenDJ1w+ryoKExfN8F1AfqCypJz3Hn6JYzsOn+lyL6EqCl17d+PG/9wtWmcIQisQa3SEDmPN29/gqNDbcMRAVRSO7/qNkweO+z4wAYAx50+m1+DE2kXKdUmSxIDxQxg8dVQbROZ7pw+fYNWrX/CfKx7k+K7fAFAVFfVMkl6QnssLt/6T0vzitgxTEDoEkegIHYLVbOHwxr1uK/TKGg371u7wYVRCXVq9jttf+gvjL5qGps70ls6gZ+oV87j5qXsbrOvpaCqKy3jh1n/yzA2PsvbtbykvKnO6NV+xK5jKq9j46U9tEKUgdCxi6kroECwms9taLg4q1ZUmr8dSVlDC9u82kHnsFDqDnqHTRjF42ig0Wo3Xr+3vAoKMXPHwzVxw5xVkHEkDJHoNTiQg2NjWoXmdYld49a4nyE5JB2j0+1VVFHau3MQFd17hi/AEocMSiY7QIRhDgggMDaKqrNLlMaqq0qVnrFfj2LlyE5/8803HFIQKkiyxa+UmonvE8vuX/kJkt8652PZcQWHBDBg/tK3D8KnfNu0j8+ipJr3GVF7lpWgEofPo2OPEQqcha2QmLZ7ldP3HWRLjLpjqtRhSdifz8WOvo9jsjvUWqlo7lVaUlcerd/6n3gJpoXPZt3Y7stvvz4Y66y40QWhNItEROoxZ11/gtjlkWJdwdAF6r11/3Xvfu9zRpdgV8k/ncHjjXq9dX/Bvpoqq2h2BHpFg0qWzvReQIHQSItEROgxjcCAxCa6345bml/D58re9cm27zc7RrQfdfpDJGlkkOp1Y157dPF5sLckyPQf1YcLFM7wblCB0AmKNjtBhlOQVcWjDbpfPq4rCvrU7uPieqwnrEtGq11bsdpeF8Gqvr6oeNa20mi3sWb2NHd/9SllBCeGxUUy4aDoj5o5HoxU/su3VhEXTWf/RD40epzPoGX/xdC74w+XovTgCKQidhXjXFDqMkwdTPNrJknbgOCNmj2vVa+sMeqLiu1KYlee6zYEKcf17uj1PZWkFL9+xnKxjp5EkCVVVKczKJ2VXMpu//Jnbnn8AQ2BAq8Yu+EZMQjzzbl7ET/9b0fBJSSI2IZ7L/nI98QN6ERDU8XehdWb5yQUAKGmNL06XE3rRJUms1WoJkegIHUcjIyreNvWKeXzzzIcuG1fKGpnxF05ze45P/vkmOakZALUjRDXJ28mDx/nqqfe56q9LWzHq5rHbbBxcv5uj2w6h2O30HNyH0edPdvkBraoqKbuT2bpiPQWncwgKD2H0eZMYMWccWr3Ox9G3nfNuW0xUfBfWvP0tBem5ABiCjEy6ZCbzb70Eg7F+Ems1WyjNL8FgNBASFdYWIQutLHfVbkKyjtA1TktUQmijxxempZCa1lckPC0gEh2hw+g9rB+SLLkd1ZFkiYRh/bxy/SlLZnNk2wGObD3geOBMGLJGRlVVrv7bbQRHuH5jK8rK59Cvu12OCKmKyq6Vm7nwrisJDg9p5eg9l3cym1f/+ATF2QXIGg2gsuP7jXz3wqfc+MQfG2wbV+wKH//9dXat2oyskVHsCpIscWTrAda9+z13vPIgIZGd40NckiTGXTiNsRdMpSgrH5vVRmS3aHSG+lNUpvJKfnz9a7Z9sx6LyQxAz8GJzF+6iEGTR7RB5EJL5ScXoKSdIiTrCNqkg1TGReG6GMZZ5rBC4jJPUr65O/nMF8lOM3h1MfKGDRu48MILiYuLQ5IkVqxY0ehr1q9fz6hRozAYDPTt25d33nnHmyEKHUh410iGzx7ncou5LMuMmD2+1dfn1NBotdzy1L1ccv+1RHePqb3moMkjuOv1/2PU/In1js89mcWuVZvZ89NWygtLObHvmNvu3uBYC3TqYIpX4veE2VTNy3cspzSvqDaemi30FpOZN+99mtyTWfVes+7d79i1avOZ4x3H1iSjeaeyeHfZi74K329IkkRUfFdiesc5TXKeu/nvbPxsTW2SA5D+2wneuOcptn2z3sfRCi1Vk+TEVaxFm3SQjKlRZE9O8OhXxtQojk3LoUdSMUGbV5O7yvU6RME5r47oVFZWMnz4cG666SYWL17c6PFpaWksXLiQ22+/nQ8//JB169Zxyy230K1bN+bPn+/NUIUO4vJlN5J/OofMo6dq17jU/B7XvydLlt3g1etrtFqmXTGPaVfMw2a1IWvkerVTyotKWf/BD2z/9lcqSytqH5c1Mr09HGlqbNGzN+3+YYvL/kuqqqIoChs+Wc2SB28EwGa1sf6jH12eT7ErpO45QuaxU8T37+WVmNubNW9/S/6pnNq+VzVq/t2/ePwdhk4fTVAbjup1Ni1NLkKyjhASmsGxaTlIcXEExiYQG5Hk2YsjksiJTWYHm+mBgcRSLamrWhROp5sG82qic/7553P++ed7fPyrr75KQkICTz31FABJSUls2rSJZ555RiQ6gkeMIUHc/b9H2LN6G9u/WU9JfjHhXSIYf/EMRs2f0ODu2VOWaguleUXoAvSEd4306DVaXf0frwO/7OK9h150WjRQsSuk7T/W6DlljYZeQxI9C9oLDv66GyTJ5Xooxa6wf+2O2kQnOzWDqjoJnTOSLHFsx2GR6OBY+7T1q1/clilQ7Ao7V21ixtWev7cKzVMzEpNICoaw/GafJzssg2OJZoJGTfY8wakjNiKJnFGQEZcGG/cyiObHUpJZ2emmwfxqjc7WrVuZM2dOvcfmz5/PPffc4/I1ZrMZs/ns8G5ZWZm3whPaCZ1Bz/iLpjH+IvcLfz3hbK1EfP+ezLvlEobNHOPxebJS0nl32YsodteVkWumc1ytM5JkmdHnTSQkMgy9NpWIoM8x6pJRVCPl1TMprboARQ1q4lfYNJYqc6OLvq11ttCrbpqsniW5bcbamVSWVDTaj03SyOSdyvFRRJ1XfnIBQZtXExKaQVF8MRlTo1pwtiiCmjKK40RsRBJEJHGCVWTQ/J59alYO41KDSN+8mty0gcQsGN3sc7UXfpXo5OTkEBNTv7JtTEwMZWVlmEwmjMaGOzqWL1/OY4895qsQhU6krLCEp699hNKC4nprZ7KOp/P2n59j8QPXMfXyuR6d69ePfqTRBTg41vToAwOorqiqHTmpmXrrmZTA4geuIyr4bWLCnkFVNUiSHVWVCDJsITrkNU4VvInF1qeZX3Hj4gf05OTB4y4TE0mW6Na3R+2fY/rEoQvQY622uDynqigeT9t1dHqjofGDVJUAUWKg1dRs9a6rZtFws6ebvKhP0oIWvb7uNFhcZgZZqxxTWc50lBGfdl8ZedmyZZSWltb+Sk9Pb+uQhA4gecsB/n7hvY71KOfkJzVrJVY8/QFlBSUene/Qhj0ejVooikJcvx4sWXYjPQclEB4TRe+hfbnq0Vu58/WHiY7aTkzYMwBIkv3M7yqSBFq5iF5RtwGNFyVsrkmLZ7v9OlRFZeqSs6OyBmMAEy+ZiSQ7b40ha2Ri+8TTZ0T/Vo+1PQoIMjJg/BC3PdsUu8LwOa1bB6ozyk8uIHfVbuLIavArkRS0SQc5Ni2HoFGT6ZO0wC+SnNYQG5FE0KjJZEyNQhkrE1exloS0dQ3+DpS0U06TwPbIr0Z0YmNjyc3NrfdYbm4uoaGhTkdzAAwGAwaDB3dBguCh9CMneePepxosBj2Xqqrs+G4Dc268qNFz2q02j64ta2Qi47owafEsJi2e1eD5qOC3UVUZSWoYmyQp6LS5hBrXUWY6z6PrNVVsn3guuOsKvn/hU6dTbCPnTmDkObvLFt6xhPTkNNL2HasdnQLH6E9gaDA3/udulz3CPFVaUEJpXhHB4SFExnVp0bna2rxbFnFs52Gnz0myTL+xg+g5yHujdp1B3Wmp0KKG073ZYRlkTG35dJO/qpkGS2UVqtExlWUoqr/uZ1AYpG8+0iGmt/wq0Zk4cSKrVtVfTr5mzRomTpzo4hWC0Pp+fvd7PJlmkiSJ/NOerZXokZRA6t6jjSZPil1xWVRQwkyQwX2vLFXVEGTY4rVEB2D2dRfQtVc3fn5vJScPHAcgukcM0686j0mLZzXo0K0PMHDHSw+yc+Umtnz1M4UZeRhDgxi7cAqTL5vdoho62akZfPf8xyRvPVD7T9ZrSCIX3HkFfUe3zw+oPiMGcMPyu/josdcxV1Wj0WocO9rsCgPGD+H6f9/Z4sSwM6sp2NcjqZgdiY5pqYaiWjxF1B70SVpATmwyO+PSGjynZmU1mN5qr1NZXk10KioqSEk5W/MjLS2Nffv2ERkZSc+ePVm2bBmZmZm89957ANx+++28+OKL/PnPf+amm27i559/5rPPPmPlypXeDFMQail2hQPrdzXaSsJBwuBhqf6pV8wjZXey+7NJEkOmjyJx1EAXB3iyYFdFkjwbPWqJodNHM3T6aCzVZhS7giEwwO2Hr1avY+IlM5l4ycxWiyHr+Gmeu/nv2MzWennp6d9O8PIdj7P06ftImjy81a7nS8NmjWXAxKHs/WkbOScyMRgDGDZzDPEDxM605qq7g6oo6SA7WrALqiOpGd05V05sMhlxaSSmQtzOte16p5ZXE51du3Yxc+bZN7b77rsPgOuvv5533nmH7OxsTp8+Xft8QkICK1eu5N577+W5556je/fuvPnmm2JrueAzdpsNxcn2b2cUu50RHq6VGDpjNJMuncWWL38GiQYDRrJWw9TL53LBnVe4TBhU1YjZmoBeexJJct1Qy2QZ5lFMrUEf0HbTxl8++R5Ws7VhvRlFBcnRTuPR75/zuGO4vzEYA0T38lbibAdVR52Wai3nTm/1SC0maDPkpg1sd6M7Xk10ZsyY4ba4mbOqxzNmzGDvXvfD84LgLVq9jrCuEZTmOS+KV0uS6DtqIAnDPVtEK0kSl/3lBhJHDuTXj1eTnnwCSZKI69+T4bPGMfmy2RiDAxs9T2HFtXQL/7vT51RVQlUDKK26wKOY2rP89FxO7D3q+gBVpayghKPbDrbbUR2hdTibquoM01KtpWZ6K53N9OCgYyorbQ75tJ9dWX61RkcQ2pokSUy5bA6rXvnCbZLeZ0R/bvrvPU1aKyFJEqPmT2TU/IlnF+Q2ca1FSdViAg27CQ9cWW9RsqpqUJFJL3oGRQ1u9Dx5p7LZ8Mlq9q/bgdVspVvfHky9fC4j5o5vsMbGHxVm5rXqcULHU7ftgimpWExVtUDdgoXtcSpLJDqCcI5pV83n4K97SE8+4XStzoxrzufie65u0TWav5hUJqv4X1RUTycy6GMMuqOoqoEy0xyKKn+HxZbQ6BmO7zzM6/c8Va9P1cmDxzl54DjfPv8xo8+bxMRLZtb26/JHgSGeFUbMPH668YOEDqfuVJVJTFW1ivY8lSWpbdk4xwvKysoICwtj6/pcgoNdd4oWBHfMpmrWvv0dm79ch6nM0WO4R1ICc268qEkVkf2Nuaqavy34I+aqapcjVpIkoaKy8I7LmXPDhT6O0DOKovCPi+6lJLfI7XFhXcJ55Lv2u05HaLr6U1WpYqrKC3KKk6ncs5keqQaMmRFkBc9plWSnoqKMiTNiKC0tJTS09T6/xYiOIDhhMAaw8I4lnHfrJZTml6DT6wiJargNOudEJtu/+ZXCrHwCw4IYNW8i/cYO8tvtv7t/3NJoi4GaBGjlS58RGRfNqHn+V95BlmUGThzGthXr3R5Xml9CxpGT9Bws6s50dGKqynfa21SWSHQEwQ2NVktkt4Y/uKqq8t3zn/DLB6uQNTKKXUHWyGz/5lf6jk7i5qfuJcDDree+dPpwam28jZEkiTVvfcvIuRP8MnGL7dPd6Q62c5lN1T6JR2g7daeqlLEyGYliqsrb2tNUlhjPFYRm2PjpT/zygaO4ZU3SUPN76t6jfPS319osNnccrQU8S1pUVSUnNcPRBsMPxfTu1miSI0kSXXrE+iYgoU3krtpN0ObV9Egq5ti0HFIT6VAtG/xdn6QFtS0ltEkHiatY63ftI0SiIwhNZLfZWffu9y6fVxWFg+t3e1w12ZcGTBjqtoO6MzaL9wsQNkf/cUMIj4l020crafJwwmMifRyZ4Au1vaoq1qJNOsiOxNTavlSCb8VGJBEYm0DG1CiOTcshrmItQZtXk7tqd1uHBohERxCaLDs1vdFmnpIk8dvm/b4JqAmGTh9FRLdojxfnGkMC/TZRkDUy1zx2O7JG02BqTZIkjMGBLP7TtW0UneBNNVNVcRVrHVNVU6PEepw2FhuRRJ+kBUhxcRybloM26SAhWUfIXbW7zUd3xBodQWgiT0Y4JEnCZvVeF/Hm0mi13P78n3npjuWUNTIlJckSky+djVbnv28TfUcnseTBG/js32+j1hmpUlUVi9lCUVY+UfFdm3ze7NQMNn++lqM7DoEK/cYNZsqSOcT17dGa4QtNVLPgOCTriKO7eKJZ7KryMzUFBjPi0ujuJwUGxYiOIDRR117d0DTy4a8oCt39tC9R197deOiLJ1iy7Ea6JyWAJDl+1SFJEr0GJzL35ovbKErPlBWU8PVTH6CqDRdX28xW3rj3KYqy8p280rVdqzbz5NUPsXXFLxSk51KQkcv2b9bz32seZsd3G1ordKGJ6u6q0iYdJP3MriqR5Pgff5vK8t9bNUHwU4GhQYw+bxK7Vm1yuntJkmUiYqPoN3Zwq19bURRSdyeTefw0OoOeQZOHExHb9LskQ2AAkxbPYtLiWWSnpPPLB6vYu2Y7NouVyG7RTFkyh8lL5qIP0Lf619Catnz9M5Zqs9PCjqqqYrfa2fTFWi7641UenS83LZOPHnsNVVFR66x0rvl3/uSfb9I9KUGM7PiY2FXV/tTsyjrBKo5Ny6JHajEhyZDbBp3QRaIj+JzZVI0kSW3aELKlLrr7Kk4dSiHvVHa9D1lZI6PV67jh8btavZXC6d9O8N7DL1GYkYckS6iqioTEqPMmcvlDNzc7KenWtwdX/+02rnr0VlRFbVfF9Q6t3+2207yiKBz8ZbfHic6mz9fWFkx0RpIkNn2+lsuX3diseIWmEVNV7Z8/TGWJREdoEUu1harSCowhgRgCA1wep6oqu1ZtZv2Hq8g6ng5AfP+ezPzdAkadN8kv67S4ExQWzN1vPcqGj1ez5aufKSsoQR+gZ/SCKcz83QK69Gjd9gl5p7J56fZ/YzU71v3UfLirqOxZvZXqChM3P3Vvi/4eJUlC0rSvfwdP1ks1Za3UsR2H3dYYUuwKx3cc8vh8Qst1T9ARlxDJ6YAogkaJUZz2KDYiiRwgYFIC3bLAuD+FNHw3tS8SHaFZinMKWf3G1+z+YTM2qw1JlhgybRTzl15CfP/638CqqvL1Ux+w8dOf6n0QZx1P54NHXiXj6KkW945qC8bgQOYvvYT5Sy/BbrMja2SvJWzr3v0Om8WKqjT8EFYVlcMb93LqUCq9h/b1yvX9Vc/BfchPz3GZnMgamZ6DmlAV2aN/vvaVDApCZ9d+xqgFv1GYmcfT1/2VnSs3YrM67qhrPmyfvfExTuw/Vu/4YzsOs/HTnxzH1emvVPP/6z/8gZTdyT6K3js02oZbnFuLYlfY8+NWtyMNskZmz+otXrm+P5uyZG6jIzDD54xz24m+rv7jhridupM1Mv3Ht/7aK0EQvEckOkKTffnke1SVVTb4gFHsCnabjQ8feRWlzsjD5i/WNvrhsfnLdV6Lt72zmi21CaUrqgqVJRU+ish/9BzchwW/vwyoqfrc0PsPv8wTVy5j70/bGj3flCVzcJcTqarKlMvmNCtWQRDahkh02hlLtYWdKzfx1X/f45tnP+L4rt88vlttDcU5hSRv2e/yLlpVVIqy8knZdXaEJuPoqUbvujOOnGztUDsMvdGAMSTQ7TGShNOeXJ3B3Jsu5pZn7idx5ACXVZJz0rJ47+GX+OX9lW7PFdM7jmseuw1Jlusl57JGRpIlrnr0VrqJHVeC0K6INTrtyLEdh3nnwecxlVeh0WpQVce0T/yAXix95n7CukR4PYa8U9ke9RfKScuk/zjHEL8nu4H8fRtzW5IkiYmXzGT9Bz/UGymrS7ErjLtwmo8j8x+Dp4xg8JQRrH7ja35846uG36Nnbga+e+FTRswd73ZL/ujzJtF9YG82fb6WY9sPoaoq/ccNZsqSucT2iffiVyEIgjeIRKedyDmRyRv3/Be7zVH9teZ3gOyUdF75w+M88NG/0Gi9+0/qbmdVDVVVMRjPHjds5ljWnvzW5ciTJEsMnz2u1WLsiGZeu5B9a3dQklvodHRs1nUX0KVn525eqaqqYwrUXSIuSWz/dgPn3brY7bliesdx6QPXtW6AguALqoJGrUSR9KhS+y3h0ZrE1FU78csHq1AUxWmyoNgVctOyOLRhr9fj6JGUQGh0uNtjZI2GwVNH1MaWdfyU6yRHkggINDJx0cxWjrRjCQ4P4e7/PcLw2ePqTamERIVxyf2/44I7L2/D6PyD1WyhvLC00ePyTmX7IBqhNShppzCkJVNRlNrWofg9WTXRxfQp/ctuY0DZrQwsvYEeFY9jtB1t69DanBjRaSf2rd3udp2LJMvsX7eD4bPGejUOjVbDvFsW8cXj77gIRGLypbMIjggFYONnazi8cZ/L86nALc/cT0hUWKvH2tGERodz3b/+QMWfriU3LQudQU/8gF5otBqfx1KcU0h6chqyRqbPiAEEhgb5PIZzaXU6ZK0Gxea6O7skQUCw+/VOQturWyiw6Ey7Bykujj6iho5TslpF7/LHMCgZSDg+JyQg2HaQ4IqDZATeQ7neu58N/kwkOu2AqqpYqy3uj1EUzFXVPoln0uJZVJaU8+PrXwOqY7eLqjrWiVwwlYvvddTEUVWVXz/60f3JVJXCzDz6jOjv/cA7iOCI0NpE0tfKi0r57N9vcXjD3tpROq1Oy/hFM7j47qvQGTxfa5WenMa+tdsxVZjo0iOGsQuntOjrkjUyw2aO4cDPO13eFCh2hRFimtSv1e1pZUoqdnQmF+0e3Iqu/rpeklNDQkEF4qte4qjuVVSp8aUHHZFIdNoBSZKI7hlL/ukcXO19lTUyMQlxPotn3s2LGH/RdHat2kxxdgFBESGMnj+Jrr271R5XWVJOcU6B23PJGg0nDx5n7MIp3g5baCFTRRXP3/JPirLy6k1F2qw2tnyxjqLMPG555v5GW1+YTdW899BL/LZpn2MaTpJQFYXvX/qMS+69himXz212jHOuv5CD63cjKWqD6VJZluk5JJF+Ywc1+/yCd+Wu2k1I1hFCQjM4Ni0HKS6OQJHkuKfaiDCva5Dk1HDsQzQTZtlMiWG2LyPzGyLRaSemLJnD10994PJ5xa74fJ1LWJcIZl9/gcvnXdU1OZes8f3Ui9B0W776mcKMXKfrrVRVJXnLAY7tOMzACUPdnuejv71G8pb9APVGXlTFzpdPvkdIdHizp2BrdiC+99CLVJVVntmd6BhtTBw1kBv+80evthtRVZW0/cdqR6q69oxl3IXTfLIjsr3LT3bcFCVNjuR0QJboaeUhnVqMBpPbY1Q0GOwZPorItRRNGqoF5AqFoM2ryWe+T/pdiUSnDaUnp3Fw/W4s1WZi+8Qzcu4El7uaJi2excH1u0jdfaTeB40kOZo7Lrxjid/tugkMDSKuXw+yUzJcLkZW7PbabeiCf9u2Yr3bmk2SLLHjuw1uE53ctEwO/LzL9TkkiR9f/4phM8c0OyEZMH4Ij/3wAgd+2UXmsdPoDDoGTxtFj4G9m3U+T5kqqnjrgWdJ2ZVcu2BcVeGH177i4nuuZvpV8716/Y6ge4Ku9v8DYxPaMJL2Q6HxnVUSapvvwKrpd5VKGqoxh/4bgM2ryU0bSMyC0V69tkh02oCpoop3l73A0W2Havsj2W12Vjz1IVc/dhvDZo5p8BqtTsttzz3Aune/Z9Pna6koLgMgrl8PZt9wESPnjvf1l9EoSZKYde1CPnjkVafPyxqZiNhoBk8Z6ePIhOYozSt2+7yqqOSddL+j6eD63Uiy7LRnFzhGRHJSMyjKyicqvmuzY9XqdYyaP5FR8yc2+xxN9f7DL5O6x7HD5dw1Qiue/oCwLuGMmON/P6dC+2aXQ6nS9MVoT0VyUVtBQqFM1/aLkWMjkiAiiZzYZI6xmR6pxSSWakldBXJCL4w9vFNPTSQ6PqaqKm8/8Bwpe44A9d8QzaZq3nnwee587WH6jBjQ4LVavY75Sy9hzo0XUV5YikanISTSv3crjTpvErkns1jz1rfIGtnx9UqACiGRYdz2/ANu20MI/kMXoMNqdr8ovrrK/RC6pdqMLEu42UDoOM5kbmp4bSrr+Ona6ThnJEnip/99w/DZ47w6dSa0rUDrb0RYVmO0paFKesp0Yyk2zMUmR3r1ugUBi+lZ+QQqDVvOqshUagdSrU30agxNERuRRM4oyIhLg417ics8Sfnm7uSNmuSV64lEx8dOHUzh+K7fXD4vIbHmrW+47fk/uzxGo9UQHuPdH5zWIkkSC36/hKEzxrDlq5/JOn4aQ2AAw2ePY/R5kwgIMrZ1iIKHAgKNVJVWuj3GVOb++ZiE+HrFLp3R6nVEeKGdhbmqmq0rfmHrV79Qml9MUHgI4y+cxuTLZhMUHtKicx/6dc/ZRN4JVVXJTkmnOKew07bq6NBUla7VHxFt/h4V2bEwWIVoczaR5h85HbwMk9Z7O0srdCPJMi6lm+ktVBQc6Y6EhJ0qTX8yAu/12rWbq2YqK2BSAt2ywLjfTp6XriUSHR/bv24nskaDYnf+Zq8oCke2HcRcVe1RFeL2okdSAlc8fHNbh+GUoigc3XqQ7d/9SlF2IWHR4YxdOIXB00a1SY0afxUYFkxRtvtddI11XRs2cwyBoUFUlVc53UEoa2TGLJjc6glwZWkFL972L3JPZKKigupIfH584yu2rviFP775V7dtIRpjqTZ7NFLT2IiY0D6FWrcRbf4eoN7uJwkFGTM9K5/gWOiLXt3eXWKYRbluDOGWDeiVTBQCKNOPx6QZ4Cgg1YmJRMfHGhvaB0B1DN13pETHm6xmC/vW7uC3TfuwWa3ED+jFhItnEN618VEvm8XKW39+juTN+2vvyDNkmUMb9tB7WD9ue/4BMep0Rq8hiWQdP+1y1EKSZboP6O32HDqDnqsfu523/vQMqirVW6sjyzIR3aJZ+IfWr/L81ZPvkXcyq8FialVRKSso4YO/vsJdb/y12efv1rdHoyNVeqOBiNioZl9D8F9R5u9RkZyukZFQkdVKn2zvtsuhFAa43gnbWYnFET4W0zvO5ULMGsaQQALDgn0UUcspdoVDG/bwyT/e4L2HX2LNW99QWlDik2vnnczm34sf4KO/vcb+n3dw6Nc9/PTmCv5x0b3sXLmp0dd/98KnHNlyADi7Xqrm3+fUoVQ++/db3gu+nZl86Wy31blVRWHqFY3XwBk8ZQR3vfFXkiYOq11QYAgMYMoVc7n37b8R3MJppHOVF5a6rSyu2BVO7DtGVkp6s68xbOYYjCGBLkd1ZFlm/EXT0AeI3kMdjmrDaD/hciGwg0yQLdlnIQn1iREdHxuzcArfv/ipy7s/SZaZeMmsdjNlUppfzKt3PUFOagayRkZVVfat3c6Pr3/FkmU3MuHiGV67ttVs4ZU7H6essARw3J3X/K6i8vFjrxPVvSt9hjufGzdVVLHlq59dbplWFYV9a7dz0R+vajdrorypW98eXPjHK/nu+U/q7ZyqKXEw8ZKZDJk2yqNz9R7al6XP3k91pQmzyUxQWDBanXfejjKOnnKboNU4fSiVuL49mnUNnUHPtf/8A2/e9zQSar3rSbJMl97dOO/WS5t1bqFjaGxaV/AeMaLjY8HhIVz2lxsAR92RuiRZpmvvbsy58cI2iKzpFEXh9bufJO9kluPPdsWRZCiON/pP//k/jm4/6LXr71+3k5LcIjdTKRK/vL/S5etP7j+OzWJ1ew1VUUnZLe7Easy6diFLn72fxJEDakdj4vr35OrHbmPJshubvKMoIMhIWHS415IcAFnjWUwt3f2XNGkYd7/1CIOnjar92Q4MDWL29Rdw9/8ecdoPrCgrn6+f/oC/zv8Df55yM09e9RBbvvoZm9XWolgEH5K0VGn6ojbY71SXQpVWVHduK2JEpw1MWDSDkOhwfnpzBacPO7ryGgIDmLBoBvNvWYSxCU0HK0rKMVeaCIkKRx/gnRoErhzddois466H+yVZZu073zFgvPtKuc3126a9SLJUO5JzLsWu8Nvm/aiq6vQDWGlkCrGG3cXC8c5q0OQRDJo8wpHYqgoarX+/jfQa0hedQe92IbAkSa3SGqLnoD7c9MTd2CxWrGYLhiCjy5YYp387wcu/X47VbKlN1rNSM/h8+dvs/Wkbtz73pyb1DhPOklQrOqUAFRmr3NXri3ELDQvpUfWc0+dUZOySkVL9ZK/GILjm3+9QHdjgKSMYPGUE5YWlWKrNhEaHN+lN7fjOw/z4+tec2OcoUKbRaugzciCXPXgDXX1UIfnwxj1ud5CpikLKrmQs1WavrE2wWe1uK/WCo/Kyq0SnR1KC2+J1Nda9+x19Rw1sUQG7jsgxAuL/g8IBQUamLJnD+g9/cPr9Iskyw2ePbdGuq3Np9Tq0ep3L5+02O2/96Vks1Zb6339n4kvde4Q1b33Dgt8vabWYOgNJtdCl+isizGvQUAWARe5KgeEiSvSzvJbwlOvGU2C4mGjzN2e3lwMqEgoG0oP+0mkbavoD/3+X6uBCosKIiu/apCRn75rtvPKH/5C2/1jtY3abneM7D7P80gf4/D9vN7oDpDU4pn0an3m2WbwzDN99YC+3UyWSJNEtsYfLO+rQ6HBGzB7XaBPKwow8Xrj1X5jK3deIEfzXgjuWMGS6Y/1QzRRVTS+23kP7csVDTS99YDZVk3n0FNkp6R6tAarrt837KM0vdl0hWlHZ9MU6MYXVBJJqpWfFcqLM39YmOQA6JY8405t0rf7IixeXyDNeSVrwo5TpxmOWY6mWe5AfsJjU0Kcwaft579pCo8SITjtjrqrmk3+84XYkY8sXP4MKSx680auxxPXr6XLaqEZodDjGEOdTcWUFJVSWVhDWJcLp+oXGjL94BqvfXIGquBhRUlWmXTnP7Tku/cv1ZKdmkHPCdcM7xa5Qll/M9u82MOPq85scp9D2tDotNz5xN8d2HGb7t79SlF1AaFQYYxdOYdCUkU1a/G82VbPqlS/YtmJ9bQXn0OhwZl27kGlXzfdondLpQ6nIWg2KmxsSU1klRZn5dO3dzePYOrNwyy8E2o80WClT8+do8/eU6iZj1vb2Wgwm7UAytQO9dn6heUSi087sXbPNo/L4W778mZm/W0B09xivxTJmgWMHmdVidTqwI0kSUy+f2+CN/8T+Y6x6+XNSz7TBkGSZYTPHsPAPl9Olh+fxhkWHc/UjS/nwb68hSVLtXXXNLqARc8cz7sJpbs8RFBbMPW8/yvIlf6E0r8jlcaqqsvuHLSLR8RPlRaVs+fJndv+4BVN5FV17d2PyZbMZMXu8y0XFkiQxYPwQBowf0uzrWs0WXrnjcU7/dqJekl9WUMKKZz6kICOXS/98faPnkTUapwUTGxzXTnZf+oMI8xq3z6vIRFh+Jkd7k48iEvyFmLpqZ/JOZXt09ynJEnt+3OrVWAJDg7j6sduRJLnBh4skSSSOGsiMa+onBke2HuCl2/5Vu7YIHGt5Dq7fxTPXP0LeKfdNIc81+vzJ/PGNvzJk2ig0Oq1juqpvD6786y1c+887Gp2WAsdCcE/+TrOOp/PNsx9RkOGtQuWCJ3JOZPKfK5ax+s2vyT+dQ0VxGWn7j/P+wy/zvz89g93mvemerSvWc+rwCZcjmZs+X8vp3040ep6BE4e6n+6SICq+C5Fxol2Ep/RKjtt9TxIKeiXLZ/EI7uUUJ1OVk4Z6Mo3szankZXnv51aM6LQzAYFGlEami8CRaJSf6XDuTSNmjyP8zUh+fu97Dv66G1TQBxiITezO1MvnOu5cz7Db7Hz89zccW9DPuZtV7Armqmq++u/73P6C6z5fzvQe1o8bn7i79pzNaZrYtVcsxTmFbhcmK3Y7Gz5ZzabP1nDTf+8ladKwJl9HaBlFUfjfn57BVF5ZL9mo+XdL3ryftW9/x/yll3jl+pu/WOd2JEbWyGxbsZ6eg/q4PEZVVU4eTHG/EF6FWddd4FGiXldxTiGFmXkEhgbRrW+PTtVAVJGMyGq5y+dVZBQ839HqjKRWE2rdiU4pxCaFUKYbjyK3n+Ku/iKnOJnKPZvpkWpAzowgK3gO8tBeRIvu5QLAsFlj+eG1Lxs9TlVVnxW56z20L8NnjeW3TftQ7ApWi5WMI2m8/Zfnie0Tz20v/JnwrpEc2XqAMjcVkxW7wtFtBynOKWxWqfyWvKlPWjyLI1sbr/mj2BUUReXtPz/LX799xu+7x3c0x7YfoiA91+Xzqqqy8dOfmHPjhV7Z9l6Ule/2ecWukH86x+0xq9/8mtWvf+32mBlXn8/ES2Z6HFfuySy+fuoDjm47+z0c3SOGhXcsYcSc8R6fpz0r1U0i0rKmXq+puiQUyvQTm33+cPMvxJreRcIMaAA7saZ3KAhYRIFhcafvJ+WpE8mrULOyGJeaSHpyBFlxA4lZMBqAigrv3JyLqat2JrZPPMNmjfXgSIkxC6Z4PR6A1D1H+PDR17DbHFu5VUWpHZbPO5XNa3c94fgASM9pUCTRmcJM308NDZ42iqEzRnv2ZqWq2Cw2tn/zq/cDE+pJ23+83iihM5WlFV6bXgwIdt/3TJIlt+1bygtLWfO/b9ycABJG9Ofie6/2OHHPO5XNszf+jeM7D9d7vCA9l3eXvci2b9Z7dJ72rsiwAAU9qpOPNRWZark7ZTpP3jsbCrVsJs70OhLmM33B7UiAjI2u1V8QbXbzbyoAjlGcE8mrSEyF/htiSU+OoHLy/Nokx5tEotMOXfPYbQyc4L4I33m3XkJYdLhP4ln37ncuExjFrpBzIpPkLfsxBgc2uksLwNAGTTRlWeb65Xdy3tJLPOozpqqiYnJbcHyfeTZ16w1jzpvstoKyqqiMnDfB5fN7ftrm/mdAdVTsrihxPQVzru9e+ARLldnlmp+v//s+5qpqj8/XXlk1XTkV/DA2yTHKqqKpTXpMmj6cCn4YpGaM8qkKXU0fo4LLNUDR1V8jqx40bO7k+toTiNcnYAzuTeXk+XRJ8s0aNJHotEP6AAO3vfBnbnn6PiLjutR7LjgilEv/fD1zb7rYJ7HYrDaStx5wu7BS1sgc+nUPg6eNanTRb2RcF+L792ztMJ1SVZXTv50gefN+slPS0Wi1zF96CY/98ILbYm+12vlQdWl+MfvWbmfvmu2U5LreceZP+o5OarRmTWh0uNd2G067aj4GY0BtDZ66ZI1MXP+eDJ3uut9XWUFJo60mVFWlosizIfyK4jIOb9jrtsq3pdrCvrU7PDpfe1et7cvx0BdID7yPQsMFFBgWkRb8d04G/x27HN6scxrtJ9CrhW4XOstYCLbubdb5Be8Ta3TascFTRzJ46kgKM/PIO5WDIdBAryF9fdoQ1G61NXqDrapgtVgJDg9h2pXz+eWDVS6PXfD7y5q8ALM5Dv26h2+e+6jeeo/4/r1Y/MC19BkxgP5jB3Nkm+sETpIk+o1pecuAtmCqqOLzf7/FvnU7akcXJFli2MwxLFl2E0EejGi1lcRRA4nr14OcE5ku/21m/m5Bi/tWuRIRG8UfXnuItx54jqKsfGSN7NgcoKpotFpsFhs/vvYVky6dVa/Scu7JLDZ9vpa9P21rtJinJEkER4Z6FE9JXlGj1cFlrYaibPdrizoUSUO5fizlNG+a6lyyWtHoMSqg8eA4oW2IEZ0OICq+K0mThtFnxACfdz3XGw2NLxxWVSLjovnxja9I2Z1MUHgI4HhD12g1IElodVoufeA6Rp83yesx7/95J/974BkKMuovas06fpqXf7+cE/uOMv3q89wmOVq9jvEXua/R449sFiuv3PE4+9btPGfXksrB9bt5+Y7lWKpd94Rqa5IkcfNT9xHe9cxC+zO32TWJzdgLpjLtqvlejSG+fy8e/vq/3Pb8A/QfNxhUFUmWsZot5J3MYt17K1l+2Z85tsOxZmbvmu08ceUytny5jspGpqRkWSZp8nCCz/yMNMaTpFS1K36dvPo7q9x46xcJR6sJwT+JEZ1mKMrKpyi7gMCwYLoldu9UWzjPVVMU8LsXPnV5ZynJEus/WIXNaqs3gqAqKn3HJDFs5lhGzh2PMaTp1ZGbym6z8cXj7zgdhVJVFUVR+OrJ9/nTh//koj9eybfPf+K4a68pRijLaHUabn7qXoIjPLvr9id712wnPTnN6XOKXSHr2Gn2/LiFCYtm+DawJojsFs2fP1nOrh82s+fHrZgqKonpHcfES2bRb+wgn/w8yrKMRqet3alXd5u4qijYLCr/u/9pfv/KQ3zw15c9ahEhnTnnwjs8728VERtNryGJDQoY1j+xxPBOsvPKGyyaOKo0/THaU5zu6FKRsEnhVGpFuQl/JRKdJsg6fpqvn/6AlF1nF6F27d2NC++8sraPTmc09cr5JG89QMqu5HrJjizLKGfudm0WW73nat6Uj247xLxbLvFJkgNwdPshKtzUF1IVlcxjp8g6fpqZ1y6k75hBbPp8DWn7j6PRahkybWSDaYn2ZPu3v9ZWjnZGkiS2ffurXyc64CjyOPnS2Uy+dHabxbD+wx/qJcF1qaqK1Wzlu+c876/ULTGeKx6+hbh+TVujtvAPl/PKHx53DCs4+WedftV8n21M6KhyjDfQu+IxwFov2VHP7MHKDlwKkpgg8Vci0fFQVko6z938d2xma73H805l878/PcO1/7yDUfObX6OhPdPqtNz63ANs/PQnNn76E8U5hY5y+xOHEh4Tybav17v8YJU1Mr9++AN9hvf3SayeLrotzi0irl9PeiQlcNUjt3o5Kt8pbWRNh6qqlOYV+zCi9itld7LbkRpVVck8drrR0ZzA0CBuf/EvdB/Yu1mjUf3GDOKmJ+/h03++SUVxeW0hQo1Ww/Srz2/SCJHgXLU2gbSQx4gxfUiw7WytIpOmD3kBV1GlG9yG0QmNEYmOh1Y8/QE2s7Xh7oYznxlf/Ocdhs4Y3aQu5O2ZYleQZKn2jVmr0zLzdwuYcc35WKrNaLRatDotr9z5H7cfrIpd4ej2Q74K2+O1DyHtcFrKE2FdIynMync5zSFJEuExET6Oyj9VlVWy/Zv17PlpG6aKKmIT4pl06SySJg13OyrWVHqjgR5JCS06x5Bpo0ha9Ty/bd5PYUYexpBAhkwbVbseTmg5s6YXp4MfQqsUolOKsEmhWDXe6yUotB6R6HigOKeA4zt/c3uMqbyKQxv2MnJux50Lt1msbPpiLZs+W0thZh5anZZhs8cy69qFxPfvBTg+KA3GgNrXuGupUHtMK31geGLgpOEYgoyYK13XvIjq3pUeg1r2weOvxl88vbaZqjOqqjL+ouk+jMg/5Z3K5sXb/kVFUVnt92dxdgGHN+5l9PmTuPrR2+g7aiBHtx1yubVbkiTi+vXk1KEUl6M6skam/7jmNxmtS6PVMnS694uvdXY2OQqb3PTK7ULbEZOKHijOKWz0GFmWO/QWTqvZwit3/odvnv2YwixH1Vmb1ca+Ndt55vpHSd5ywOnr+owY4LYasizL9BkxwCsxO6MP0HPBHy53e8zFd1/VYReYj5w7gZ6D+zitAyPJMvEDevlk55s/UxSFN+97msqS8npJeE2ysvuHLWz4ZDXTrjrPdf0aCTQ6LRfefZXba6mKytQr5rZa7IIgNCQSHQ94sjVTUfx3C2feyWy++u/7PHHVMp68+iG+fe7jJpfI//m9laTtO+YoilNnAEaxK9jtCu899CJmU8PqqxMWzXDUxXGRNyiKwnQvbwc+15Qlc7j0gesaVGAOjgjhun/fydAZY3wajy9pdVp+/+KDjJo3oV6yI8kyI2aP4w+vLGv16dfinEJ++WAVK1/+nK1f/0J1hX9XkD22/RD5p3Pcrq1Z/+EPpOxyM8qrwqUPXEfC0L787h93IGvkerV9ZI2MJElc/tBNdB/QuxWjFwThXGLqygNde8cRm9id3BOZLqdZtDotw2a2ToGq1rRz1SY+fux1JEmqfePOSc1kwyeruX65Zx/qil1h0+drXU8xqSrVlSb2/rSNCRfPqPdUeNdIrvv3nby77EVArY2hZrfK/FsvYeBE32/LnHL5XMZdNJ3kLfupKColPCaKgROHeqURpL8JCDbyu3/8novuvoq0A8dRVZWEYf0I69K6a3PsNjsrnvmQzZ+vBckxeme32/n6qfe55P5rm9S00pdS9xxB1mpQ3BT2K80vZt17K10+L8kSx3f/xoRFMxg5dzzx/Xqy6Yu1HNl6AFVV6Td2MFOWzCGubw9vfAntVkaaFQNlmMMKqdyTRc4oiI1IauuwhHau47+rtwJJkrjwrit4496nXB4z+4YLCQz1zRZpT2UdP83Hj72OqqiodYZhFEUBFd5d9iLLvniCqHj3ha7Ki0rdbskG0Gg1ZB495fS5YTPH8MBH/2LTZ2s4tHEvit1O72H9mHbFPPqObrs3MX2AnuEeNUjtmEKjw7369X/3/Mds+nyNYwRQBbviSBysZiuf/fstjCGBftlZ29M1Y5LkGOB0eg5FZd+aHVy+7CYMgQF07d2NxX+6thWj7Hi6JEVDUjSpqyAk2Ub/zAyOsZkTcWkExib4RcKjUcoJt/xCiHUHsmqmWpNAsWEuJm2/tg5NcEMkOh4aNHkE1y+/i8///RZVZZW1Wzi1Oi2zb7yQ+bdc0tYhNrDh058cu0OcVsdzvKFv/nIdF/3R/ToCra7xbxNVBa3OdX+o2D7xXPbgDVz24A2Nnkto/8oLS9n42Rq37UFWvvw5w2eP87v1UIkjB7Lu3e/dHqML0KPY7LXJmzOK3U5laQWGwACXxwgNxSwYTX5yL8rTTtF/w1pM8YVkTIUc2nZ0x2A7Se/KfyKrVdRU0DEoWYRbN5JvWES+8Yo2i01wTyQ6TTBi9jiGTBvFbxv3UpiVT1BYMEOmj/a7kZwaR7cdcrvOQLErHN12EBpJdILCQ+gxKIGMIyddbktW7HYGTR3RknAFv2MjOGAjwYatINkxWYZRVjUflcY/uA/+uttto0mAgvRcclIz6OZn0zcDJg4lukcMRVn5Ln9+EkcO4Oj2w27PI8my3743+LsuSdHkA1lpc0gsTYGNe0lPbLupLEm10LPycWTVhFQne68pHtjFvAKzpidl+s5ZS83fiUSnibQ6LcPazXRH40Pwnu7snnvjRbz1wHMunzcEGYkf0MvTwIQWyE8uQElzPk3YWoyhOQw//2mMofmoquNtIjLoc2LDniS98DmqLO63MZsqqhyVsRsplmdys82/rciyzC1P38eLt/6r3s6rmnVlI+dNYMHtl/GvS//k+hwamWEzxxJwzoL3pirOKWTLl+s4+OtubBYbPQcnMuXyOT4rsNmWapIdMzr6EYrBdIjsNool1LodnVrq8nkViSjz9yLRcSM2IomUnFUc12TRI8xA0GYbuWkDkRN6OaYtvUgkOh1Y39FJ7Fm91W0ND087cA+dMYZZ1y3kZxcLMC1V1fzv/me487WH/W4qoiOpSXISSSEqwUtFDTVmjBOfQtI71mVJkq32KVmqoGfU70nN+wqrvbvLU3TpEdtokiNJElFxXVon5lYW0zuOBz97nG3f/Mqe1VswVZiISYhj8uLZDJo6AlmWmX7Vefz60Y8NXivJMlq9jvNubdl0dsruZF6/+79nesQ5/i6LcwrY+9NWzrt1MfOX+t90eUcVaDuMiuy01xWAhIrRfgJJNaNKBh9H1370SVpATmwyGXFpdOcgcZkZZKXNIR+8muyIRKcDm3rFPHb9sNnl86qqMvkyz3sFlRWU1DbjdHauE3uPkrI72ePkSWia/OQCgjavJiQ0g8qxMpVeuk547DECDaU4y1clSQGsRAZ/SG7pX1yeY/DUEQRHhFBRUu50YFGWZQZOGtbqO71aU1B4CLOvv4DZ11/g9PmL7r6KgGAjv7y/CovJXPt4t8TuXPXoUmIS4pt97aqySt6872lsFqvTWj4/vv4V3Qf2ZvDUkc2+huA5z2/dfFf8tL2KjUgiB8iYCmpWFv03rKV8c3dy0wYSNM07i7pFotOBFOcUUJCeS0BwIPEDetFzUB8ufeB6vnzy3XrTCLJGRlVVrn70Nrr26ubRuRVFYe+a7a47JJ85796ftolEp5XVjOKEZB1Bm3SQY4lmpLg4AmO9U725K66TYwBJshNqXO020dFotVz516X870/PgqTW+76RNTIBQUYW3fe71gq5TciyzHlLFzPzmgUc23EIc5WZmIS4Zvesqmvn9xuxmMyum6/KMus//EEkOj5SpelPGL+6fF5Fwix3R5XEwnNPxEYkQUQSJ1iFMhZ6ZBWTnnyEvGORXrmeSHQ6gLxT2Xz55Hscq9MzKiI2moV3XMaUJXPoObgPGz/9iZTdySBJDJwwlKlXzGtSDQ+71YbdanN7jKqomMqrmv11dHbu1t7EVazFlFRMeqKZoFGTvbog01iuQXK9mQgAyVZJ7qrd9R6LWVB/3c7gqSO54+UHWfXqF45ikzg+oIfNHMvCPywhunvH6BNkCAxo9SKTqXuPuh0bUBWFE/uOoqqqmCr2gVL9JGKqP0JWq+otRq4hoVJoWNgGkbVvgbEJSHYw6qFrqZ2mlbH1nEh02rn89FyevfFvmKvqVyUuzingg0depaq8iqmXz+Wax25v0XW0eh0hkaGUF7mupyPJEtHd3dfkEZyrOy0VHt9wp05RkkxGYhRBjdUTURUkLKjoQWpe4fNqTU+M9lSX6xFURUIpC2VQ2Nbax8ylXUhdRYOFhX1HJ/HHN/5KSV4RVWWVhHWJ8NsK4oLgiioFcDroAXpVLAestT8bNet2ivSzKdVPa9sgBZd8kui89NJLPPnkk+Tk5DB8+HBeeOEFxo0b5/TYd955hxtvvLHeYwaDgerqhu0FBPj+xU8xV1W7XPj57bMfMeb8SRhDWrbNVZIkJl02m5/eXOF6i7miMP5i0RCyKVxNSznTJ2mBy/NolQKiq78l3LIBGTN2AijRz6Aw4EJsctOGg0v0s4m0rHP5vCSrHNL2I2vq2R1T3TfuJS7zJOWbu5PP/AYLC8O7RhLe1TvD0h1R4sgBHPp1t8tRHelMjzgxmuM7Ju0AUkL/S6R5DaHWbUiqhWpNb4oN86jQjsDpojbBL3g90fn000+57777ePXVVxk/fjzPPvss8+fP5+jRo3Tt6vzuPzQ0lKNHj9b+WfwwO1dZWsHB9bvddgi32ezs+Wkbky/1fNGxKzOuOp/963aSl5bltEbKeUsXd5jpCF+oSXJqpqUypnowYuOE3p5F74pH0ahVtXeaGqqJtPxEmHUracGPYdV4/u9SrU0g37CYLuavUJFqh+prPnTLdOMJ6P17+tQZMTrBKtSsLMalBpG+eXXtttFzeXsbaUcx7sKp/PDaly7X6aiKwoxrzm+DyDo3mxxNnvEq8ozua48J/sXric7TTz/N0qVLa0dpXn31VVauXMlbb73Fgw8+6PQ1kiQRGxvr7dDavbKCErdJDoBGI1PiQfd1TwQEG/njG//Hypc/Z8d3G7GaLQBEde/KvJsuZtyFYujWU7mrdhOSdYSQ0AyOTcupXVzcnLU3cVWv1EtyakgoaNRyupne4HTw/zXpnPnGJZg1cURVf4dRcawbsspdKDKcT5F+foNpsZptozvYTA8MxGVmYEzr3eC8qWl9fVI3o70zhgRxy9P3NdheXlPL57xbF4uFyILgIa8mOhaLhd27d7Ns2bLax2RZZs6cOWzdutXl6yoqKujVqxeKojBq1Cj+/e9/M3jwYKfHms1mzOazWzvLytz3ZOpIPO2qHtiKayKMIUFc9pcbuPCuKynMzEOr19GlZ6wYdfOQq6kqd9NS7hjspwm0p7h8XkIh2HYYvT0bi8azHXY1yvSTKdNPRlYqkFCwSyFuh+djI5LIGQUZcWkkpkK4XlPvedPJHLfTW0J9fUcnseyLJ9jy1c+OgoFmK72GJjJ1yVx6DxO9lQTBU15NdAoKCrDb7cTE1B82j4mJ4ciRI05fM2DAAN566y2GDRtGaWkp//3vf5k0aRKHDx+me/eGBcqWL1/OY4895pX4/V1odDh9RyeRuveI223fI+dOaPVrGwIDiOvXs9XP25G11lRVXQF2zyokG+ynm5zo1FBkzxPlmm2jqawilbT6T/YANSun3vTWuTu1hPoiYqNYeMcSFt6xpK1DEYR2y+92XU2cOJGJE8+W0Z40aRJJSUm89tpr/OMf/2hw/LJly7jvvvtq/1xWVkaPHv7VO8ebFvz+Ml687V8gOe+6PPXyeYTHtO4i0IriMnat2kxRdj6BocGMmj/R43o8nVVrTlXVpaD36DhVct1w1RtcjVCdO72V5WSnVmeVsjuZDZ+s5viu35AkiX5jBjH96vPoM2JAW4cmCF6ToknjuCaL/hWxBG4r98o1vJroREdHo9FoyM3Nrfd4bm6ux2twdDodI0eOJCXF+fC8wWDAYOi8JbcThvdn6bN/4uO/v05Z/tnKxRqdlulXzWfhHZe36vXWf/QD3z3/KaqiOAoPKiqr3/iasQuncPnDN3vU6bwzqduyoagVpqrOVakdgoIWGdc1jhQMVGr9o4hj3emt7hsLictcK6aygF8+WMW3z31cuwYH4NCGPRz4ZReX3P87pl05v40jFITWVzMCnBObzDE2E3E4xyvX8eqnkl6vZ/To0axbt45FixYBjjUj69at48477/ToHHa7nYMHD7JgQet8MHREAycM5dHvnuPotoPknc7BGGxk8NSRBIWHePR6VVVJ3XOEA7/sxGIyE9unO2MXTmnw+p2rNvHNMx/V/tluO1tVbteqzegC9Cx5sH5pgM6s7lRVUXzrTFWdS5GDKNbPI9Lyg9NCZipQaFjgVxVb61ZFPXenVmecyjp1OJVvn/sYoF6ZiJr///qpD+gzcgDdB/Rui/AEwetqboCyQpO9cn6v337fd999XH/99YwZM4Zx48bx7LPPUllZWbsL67rrriM+Pp7ly5cD8Pe//50JEybQt29fSkpKePLJJzl16hS33HKLt0P1S5nHTpF/OoeA4ED6jhqIVu98CkLWyCRNHk7S5OFNOn9FSTlv3vc0pw6mIGs0gKNc//cvfcYVD9/M2IVTAEeC+uOrX7o8j6qqbP16PfNuXuTX/Yt8xVtTVU6vZbwKjVpGuHUTKjKO9EZCQqFEN5P8gMta/ZqtwdlOrc44lbXpszX1RnLOJWtkNn2+liv/r3O+BwqdQ2xEEpUxpsYPbAavJzpXXHEF+fn5PPLII+Tk5DBixAh+/PHH2gXKp0+fRpbPblUtLi5m6dKl5OTkEBERwejRo9myZQuDBvnH0LuvpB85yaf/fJPMo2cXmxpDg5h/8yKmXTW/VXY5qarK/+5/hvTfTgCg2M+O0NitNj7622uERoczYPwQslPSKcouaOR8Cod+3c3ky+a0OLb2ytlUlbdbNiBpyQr6A0W2BYRZN6JVSrDJkZTop2HW+PeC8XN3asXt7HxTWSf2HXPb6V2xK5zYe9Tl84LQUcSE9/fKeX2yoOLOO+90OVW1fv36en9+5plneOaZZ3wQlf/KTknnxaX/wGqpv+7CVFbJimc+xGyqZt7Ni1p8nRP7jnHywHGXz0uyzNp3vmXA+CGY63RndkWWZI+O66jqtnHw1lSVO9XaBKq19Rt96uy5GJRMFAKo0vYHyf/WUNXdqaUac+iRWkzQZmqLDnb0hEfWNN6qQ9ZqGj1GEATn/O9dT2Dly5/XKxJ2rtVvrGDS4lkER4S26DoH1+9C1mjqjeTUpSoKKbuSqa400aV7TO1CZ1cURSGmt/P2BR2dL6eqPKGz59LN9CbBtrONXm1SMAWGRRQZFvhlufqaqax0NtODg46prLQ55NOxKyoPmjKCTZ+tcT11JcsMnjLCt0EJQgciEh0/U1FSzm+b9jndKl5DVRT2rN7a4p0YFpMZPPi8e+fB57FZbETERlOcU+A02ZEkiZCoMAZOHNaimNqbNpmqaoRWKSCh4q9o1Mr6j6sVxFZ/gFYt89sS9p1xKmvKkrls/nyt8yclx4jPpMWzfBuUIHQgItHxMxVFZW6THHC88ZXml7T4Wt369nC7NqDGse2HUVW1djs5EtTd4CPJMrIscfXfbkPj4RB7ZWkFW7/6mZ0rN1FZWkFUXBcmLp7JmPMnu1xw7W/aeqrKlS6mr9ColS67j0eZv6VYPwerpovT57VKEaGWrWjVUqxyFGW6idjllo0eNkVnm8rq0iOGG/7zR9558AUUu732RkKSJTRaLTc9cTdR8c77AgqC0DiR6PiZ4IiQBonEuRS7QmhUWIuvNeb8SXz73MfYLFa3x9UkXrVJkXq25w4SDJw4lPOWLqbn4D4eXbcwM48Xlv7T0avrzLmrSis4/c8T7PhuA7e98GcMRv/ZDu2Mv01V1ZBUK2HWTS6THAeZMOsGCjSX1n9YVeha/QlR5u8df0RGQiHW9D55AZdTGHCR9wJ3ojNNZQ2ZNoq/fvM0W1f8wvGdjoKB/ccOZvyiGYRFh7d1eILQrolEx88ER4SSNGk4R7YedLlGR5IlRs5reVsHY0gQVz26lA/+7xWQpEYbhJ4NQCK6Rwy3PvsnAkODMIYEeXxNVVV558EXKC8qrTdyVfP/Jw+m8P2Ln3HpA9c16WvxFX+cqqpLViuRaSRxRUKnFDV4vEv1V0SZv6udzZSoWbtlJ6b6Y+xSICUG3+6o60xTWWFdIjhv6WLOW7q4rUMRhA6l8eX+gs8t/P0StDoNkux8Ac2cGy4itJXu8kbNm8gfXn2I/uMG167X0Rl07revqyp5J7PR6nVNSnIA0n9LI+PISZdTZqqisv2bX6mu9E49hdaQSAqGsHwCJo3xqyQHQJECz9TScU1CxSbVn4qS1SqizN+6XbLVtfoLUJ0vXPem2Igk+iQtIDURjk3LQZt0kKDNq8ldtZv8ZPclDwRBEMSIjh+KH9CLP7z6EB///U1y0zJrHzcEBjD3pouZdd3CVr1e4qiBJI4aiKXajNVs5af/rWDz52vrVT52xtVuLXfS9h9rdPeW1WwhOyWdhOHeqanQGoy9Yylu6yCcUCU9ZboJhFq3uZy+klAo1U+t91iwdX+jI0FatZRA+zGqtG2T2NVMZWXEpdG9g09lVZaUs/nLdY41bCXlRHaLZuLiWYy7YCo6g2f9zQRBcBCJjp/qNaQvf/l0OacPp5J/OpeAICP9xw9GH+C9vl76AAP6AAO9hiSy4ePVbo8NiQwjNLrpFZAlWXK7/ujscWKwsbnyAxYTYt0NWBskOypQopuBRVO/DICsVnl0bllt25G22IgkcoCMqXTYqazaNWyFJbU3BJkV6Xzx+Dvs+G4jd7z8IIZA/17DJgj+pMMmOqqqknMik+qKKiLjurTaVI8vSZJEryF96TWkr0+vO2zGGIIjQqgsrXC5lXzqFXM93mFVV7+xgxvdVRYQZCSun39X9PVnFk08J4MfIb7qZQzK2RFBBS1F+vlOt5ZbNJ51n7fInjXj9aaOvivr3WUvOtaw1f3ZO/Mzk56cxrfPfcySZaKnnCB4qsMmOs9c/yjF6YWAYxRh8NSRXHzPNUR3F9s0G6PV67jpyXt45c7/YLfaatfTSJKEqqoMmDCEmdc2b/qsW2J3+o0dROqeI87X6UgSU6+Yhz7A/4bna3ZaGZKK+VWTiqSJo0+Efzabrdb2ITXkSYz24xjs6ShSABXa4ShysNPjqzRJWOQYdEqei+agMiZNvwYjQW2pZirLYEqjX2QkWejIauugWuj0bydIT05z+byqKOz4fiMX3Hl5k9fHCUJn1WHnB/LTz7Z7VxWV3zbt49kbHqUwM68No2o/Eob3588f/5vJl80mKDwYnUFPXP+eXPF/N3PL0/eh1TU/R772n3fQtZfjA7Nm0XNNGfyhM0Yzf+miFsffmvKTC8hdtZu4irVokw6yIzGVoFGT6ZPUtkmOzp5DdPVXxJjeJ8L8IxqlvP4BkoRJ258Sw2zK9JNdJjk1x2YF3g5O0hwVUNGQHXhzK38FwrlOHjjeaB87m8VK1vF0H0UkCO1fhx3ROdPAuZZiVzBVVPH9S59x/b+d990S6ovuHsPiP13H4j+17lbvkMgw7nvvMfat3cGuVZuoKC4jqnsMExfNZMCEIfWavLa1ukUBTf5SFFC10a3qf0RY16Mio57pVB5j+pBc4zUUG85r9BQapYxwywYC7CdQ0VKhG46smpFQnC6hkrFisKdj1vRo/a9HqCXLsidL2JA86I8lCIJDx010nFDsCgd+3klVWSWBoWLYty3pDHrGLpzC2IVT2joUl2qSnB5JxRTFyWQkRrX5KA5ArOldwq2/Ao4dVGfr3tjoZnoXuxRMmd7132uIZSfxVc/XqZMjEW7diHpmNOfc8YSa+pUxpg8p000Ayf8+ZCuKUiEyvq3DaLF+4wbXrsdxxRAUQPcBvX0TkJ+oKEoF/5k1FdqZTpXogCPZKc0rEomO4JGucVqMvWOR4iCw7dfholWKiLD87HQdDTgSkq7Vn1Omm1y/cadqI9S6k1DLZkJsu4G6Cc2ZlgNuxhIkQKcWEWg/QpV2UIu/jtaUmggpxlT6b6gkqKw7uWkDiVkwuq3DapaY3nEMnDiMYzsOuVzDNs1P17C1tpo1cUpoBjtqqo+3dVBCu9TpEh2AwDA3axUEwY85to27rmAtAXolD4NyGrOmFwB6eya9KpajUwtrU5nm9i7XKGXNfOVZWqWICPPPBNp+AyQqdYMp1s/CLoc3+Vw1O7BOsIpj07LokVpMSDLkrqLFO7BUVSV1zxE2fb6WrOOnMQQGMHzWWCZcMpPg8JBmn7cxv/v77bxy53/IPHqqtuZUTcuVYTPHMH/pJV67tj/w9+rjQvvTqRIdSZboPbQfYV2aXv9FEPyBrFbj2EPgvl2H4zhH3ZteFf9EqzoSlOYmODVsclSLXh9s3UX3yueQsCOhogKB9mSiq78hPeh+KnXDmnXe1i4mqKoqXz/1ARs//elsXzcg8+gpfvnwB/7wyjKvlUAICg/hnrf/xoFfdrJr5WbHGrb4rkxYNJ3+44Y0uli5PfPXRrlC+9Z5Ep0z7w0Lfn9Z28YhtAs1d5WmipNUWmRSNRBIQluHhVnTrZGGnY5eVhY5BoAwyya0akmLExzHOWMxaZpf00lvz6ZH5bOAvc66IsfZwUqPyv+SEvo0Nrl5ozDnFhNMTE4hNY1mJTs7vtvIxk9/Aqg3haSqKqbyKl67+7/89ZunW7T70B2tTsuoeRMZNW+iV87vj2p+5rrGaalMcqyJ84dGuUL753+rCluJJMtIklS7bTkoNJibnriHvqPFD43gXs1dZVzFWpSxMqmJ+M0bboV2JDYpDNVF6qIiU64dXTsNFGLd1aTzqzQsXO24lkSO8Yb6636aKML8U+3ZziWhImEn0ry22ecHR7ITGOtISKMSQumeoGvyOVRV5ZcPVrn8WlVFoSy/mIO/NO3vVmhc9wQdUQmOPmz+8jMntH8ddkRn2ef/4cTOo5gqTHTpGcvgqSO9dvcldBw1CyB7JBWzI9GxANIfdlrVkjRkBt5Bz8onUFHrje6oyNilYHKNZ8sBOLaMN41V6opePVtvyizHkWu8gUrdkBaFHmLb43Y0SkIh2LqHPOOVLbpOS5nKq+r1mHNG1mhI2ZPMyHkTfBSVIAjN1WE/+UOiwph82Zy2DqPDUhSF4zsPk52SgS5Az6DJI4iIbdn6jbZUM2weV7EWU1IxO/x4AWSlbhgngx+hS/UXBNsOAo72DmW6SeQZL6+3jsak6Y3RftyD6S4ZCYVs482U6GcTYE9Dq5ZglSIdi5pbY12I6j4GoM6W97bTWIuSs8d5ORBBEFpFh010BO85eTCF9x9+iaLsAiRZRlUVJCTGLJjCkmU3tNvuyomkED45kaw4CIrHL5OcGiZtf04HP4RGKUdWK7HJ4ahSw0aPJYbZRFncN2hVgUrtEAoNF9aO2lRr+7R6zFXaAeisRS6TLhWZKs2AVrlWijELc1YhkaUjUbA2aZ1OYGgQXXrGOqqru0hmFLudxJGtE6sgCN7VYdfoCN6RcyKTl3+/nOJcRx8xVVFAddwF7/phE+//3yttHGHnYpdDsGpinSY5AGZND3IDHE081To/7jVrcUp0E0kOfZ/TwctaPDXVmGLD/EZGlhSKAua3+DqxEUkEjZpMxtQoisL2ElexlqDNq8lPLvDo9ZIkMeOa810mOZIsExIZxvBZY1scqyAI3idGdIQmWfP2N9htNqddzVVF5eD6XaQnp9Ejqe13KHV4qo0Q626CbAeRUDBp+lGqn4QqGeodVhhwEWZNPFHV3xNkPwKARY6j0HA+JfpZXq90rLPnEWX+jjDLprOhI9UWKKyZNssx3lBb+6el6u7AUrOy6L8B2Lza42KCEy+ZSXpyGttWrK+3vVySJQICA1j67P1o9U1f6CwIXqEqGO0paNRyrHIXzBrvlD5or0SiI3jMZrWxb+0O5xVbz5A1Mrt/3CISHS/T2zPpWfE4erUAFQ2gEs4vxFR/SHrQn6jSDqx3fIVuNBW60ejs2URYfibIeohI8xoC7OkUGeZh0XinfYLBdpLeFX9HxnzOaE7NUuoAx7RZwAJM58TcUjXFBHNikznGZnqkFpNYqiXVg2KCkiRx+UM3MWzmWDZ/4SgYqDcaGDFnPBMXzyIsOrxVYxWE5gq1bKWr6UP0amHtYya5NzmBN2LS9m/DyPyHSHQEj1lMZhRb44tFK0srfBBN5yWrVecUAbTXe65nxXJSQ57Aqomp97og6z56VD59plifI+kwWDKIsKwh27iUEsPM1g1UVele9ZyTJKemf5ZEmW4c2UG3t+51zxEbkUTOKDCY0oiKDMWMjiwPXidJEkmThpE0qXlFDAXB28IsvxJf9WqDWdYA5RS9Kv7BqeBHMGn7tegaens2keZVhFm2IGPGIsdQZJhHiX4WqtQ+RjVFoiN4LCDIiCEwAHNVteuDVIjs1vyy+0LjwiwbXRYBdEwH2Yi0rK63zVyrFJ1Jcmz1elrVJCDdTG9QrelJtTax1eIMtB3GoOS4fF5CIdy6iVzldyiyaMviLXabncMb9rBz5SbKCkuIiI1m/EXTGTBhCLIslmm2V5JqIbbqPReNeFVAIcb0PidD/t7saxhtx+hV8a8z7xuO9wq9kkWs6R1CLds4HbwMVfL/zSfiu1zwmKyRmbBoRm0RRmcUVWH8hdN8GFXnE2rZ4fZ5CYVQy7Z6j0WYf26Q5Jz7qkjzj60UoUOA/WS9BdDOr2rHoLivWSM0X3WFiRdv+xdv/+V5Dm/ax+nDJzi4fhev3/0k/7v/GWwWa1uHKDRTsHUPGqpc1smSUAi0H0dvz27eBVQbPSqfQsJab0RWOvMr0H6U6Oqvm3duHxOJjtAks6+/gLAuES6TnfEXTiP7RCbZqRk+jqz5amroAGRa0kjRpLVxRICqolWK0SoFoNafLpSpbrQIoIyl3p+DbAca6U6uEGw70NxonXIMazdebEYVA8te89m//8epQynAmR2SnG1pkbx5P9+9+GmbxeaMIS2ZiqLUtg6jXdApRS4rpNelVYqadf4Q6y60apnL9w0JlUjLGlBtzTq/L4l3GKFJQiLDuPutR1nxzIfsX7ez9s3TGBKEJMH2bzew/dsNAPRISmDxA9fRe2jz+yN5W91CgUXxxaQbzQTFtm2hwDDLRqKqvyHgzEiHTQqlyDCfAsNFIGmplnsRYD/pth5NtXzurgtPqtu1bgW8Cu0IJN5xe4xNCqNa07tVrys4FOcUsnfNdpfPq6rKlq9+5rxbF2MMDvRhZA3VVCQ3JBWzIzHVUZHcj+tY+QObHOr25qWGXQ5t1vmN9lRUNG6LeGrUSnRKAVZNbLOu4Ssi0RGaLCDYyIBxQ5AAs8mMzqBn/7qG0ykZR0/y4m3/4q7XH6bXEP9Ldup2SlbGOpoItnWn5C6mz+li/qrenZpWLaNL9RcE2o5wOujPFBvmEmH9xeU5JBSKDPPqPValTcJoP+E2OarUtu7XbdXEUKobR6h1l8vrOpI3Tatet5aqYrQfxWg7gYYCNAF6cLO8rKPZ5+Rn8lw2s5VTB1MYOLFtFly3p4rk/qZCNxoFfYPR2xoqEma5B2a5e7PO7xhp9WBEVvL/NML/IxT8SsruZN7607OYKqpqp69cbTdXFRUFhRVPf8jdbz3qyzDdqnlzDck6gjbpIMcSzX7R08pgP00X81cADe7UJFSCbAcJt/xKiWE2+YZL6WL+8px6NI69TKW6yZTrxtV7fbF+DlHmlU4XLjrOr1BsOL/Vv6bswNvRVD5FsO3wmfU6Cpypm1NoOJ8iL1wTQG/PoHvlcwQoGahIxKAijQFbXgry4bvxg04TXpey6zePjjt1+ESbJDp1bzRM8cVkTG37G43mCrCdODM9rGDSJFKpHer1+lSKZCQv4HJiqz9o8FzNu0eu8Zpmt2+p0A2ni3mFy+dVwCJ3wyb5f+sfkegIHivIyOP1u/9bu4DRXT2dGqqicPJgCvmnc+jS03+GNxNJwZBUTPGkMX7T7iHc/HNt8TznJCLNPzkSHeNlZ4oAfotROQmARe5KkWEBxfo5Dd5krZquZAbeSXzVi2eSHcc1aq6XG3BNg9o7rUGRjJwOephA22HCrJvRKBVYNV0o0c/ErOnR6tcD0CqF9K54DI1aBZxJGs+812u6/EbcyP+Sseslr1zbn3ha5uHAzzuZf8si7wZzjpqbjaTJkZwOyCIjMarNbzSaQ6OU0r3yWYLsR2oX3ksoWOQY0oPubbUCmK4UGRaAJNPF9DkaTLWP26QIsgNvplLX/ATWpBlAlSYRoz3N6XuSBBQYLm6dPnheJhIdwWObPl/jqIrcjG6GJbmFfpXoABh7x1Lc1kHUYVAyGunuraJXzlaAKdNPpEw/EVmtAlVBkYLcvumU6Sdi1nQn0ryaYOs+QKFKO5Aiw3neLSwmSVTphlDl5RYTNaLMP6BRq5y/OUsqxvBjREbtBC7wSTxtJSjUsy37WcdPU5iZR1R8Vy9HVF/3hLM1WAJjW1hgVHUspg+zrEenFGKTIijVT6VcN8qLU6M2elX8q3bXYN3vN52ST++Kf5Aa8p96TXZbnSRRZDifYv1sgq37aisjV2qHtHxESZJID/oTvSr+VTsyKqHW3hzlGy6hVN8+dtiKREfw2P5GqiK7ExzRvAVxnYmCsd5UlDPntncAUKRA5/NRTpg1PcgOvKW5IbYLYZYNbhNGVZHpGruOQqVjJzpJk4fz2+Z9Hh1rqqjybjBeJKkWulc+Q4htX+2HsIpMqG0nlZqBnA7+i8tecC0Rat1BgJLuPCYUZNVEpHk1ecarW/3a51IlPeX6cY0f2ER2OZwTIcsJse4m1LoNjVqFWY6jxDDLayOy3iC2lwses5idL3pzR5IkYhO7E5vYvAVxnUmZfrz7JAeZUt0kH0bUPtVMWbkiyQo6fUmrXc9msVKUlU95UWmrnbM1jDl/Mnpjw8T4XJIsEx7j/+ssXOlq+ohg237g7KhKze+B9mN0q/qfV64batnidnu3hEKYZaNXru1TkpZy/Xgyg+7mdPAycgOvb1dJDogRHaEJ4vv3JGX3kdot5Y068x5w0R+vQqozpaIoCke2HmDr17+QfyqHwLBgRp8/iTELJmMwtv6dV3tRrhuPWf4KvZLbYERCRUJF67XFux2JVY5Cp+S5/AhSFQlTXgj5mQVu+101xlRRxU9vrGDril9qq4X3HJzI/KWLGDR5RLPP21oCgo38/sW/8NzNrivjyhqZIdNHExwe4sPIWo+sVBJhWeem1otCmHUTNlM4RYbzWnUaSatWNLq9W6Oa3D4v+IYY0RE8NmXJXM+THCA0Kpwbn7y7Xq8gu83O+w+/xBv3PMVvm/aRezKLtAPH+eLxd3jy6ocpyW1ecat2Q7UTYEvDaDuGrNRfLKpKOk4FP4xZdtwtqWjONOwEuxTMqeBlWDTdfB5ye1Osn427uTxJVrHtDSBo82rykwuadQ1TRRXP3/IPNnyyul5LlPTkE7xxz1Ns+2Z9s87b2noP68cV/3ez0+dkjUxAcCAX3nWlj6NqPYH2o8i4L1gnAVHmlfQru4vo6hWtdm2z3M1t5W/HriTfrnsSnBMjOoLHhs4YzdgLprLz+401XRkBkGQJVVGZc9NFdB/Qm8qSciJio+k/bjAabf2FgGvf/ra2vkftep8zi5uLswt4+y/Pce87jzU5NlkqI9CwF1CotiRhU/xr4TOqSqRlNVHV36BTSwBQ0FKqm0ye8RrssuOO2iZHcSJkOYG2wwTb9iNhx6RJpFw3rt000GtrxYa5hFk2YVAynYyMwemqvhwYYGWctpj0zavJTRtIzILRTbrGune+Izctq0HiryqO7+UvHn/Hb0ZKJlw8g5DIMFa98jlZxx1rSiRZYvDUkVx091VEd2/PH8ae3XjVjLx0rf4UmxTWKg1sSwyziLCud3tMsWFui68jtJxIdASPSZLElX+9hYRh/fj1ox/JPenYAdRjYAIzr13AiDnj3b7eZrWx4ZPVLmtQKXaF04dPcOpwKr0Ge9ZcUsJC17CniAj6AllybHtXVZny6plkl/wVuxLp+RfoRV2rPyLa/H29L13GRrh1I4H246SF/MOxqBh8vkupo1EkIyeDHyHG9CFh1k21d/w2KZhCw0Iqwy4iyHiUHWymBwYSS7WkrgI5oZdHU1l2m50tX/3sdnRTsSvsWrmJGdf4x1Tj4KkjGTRlBAXpuZjKq4joFkVIZFhbh+Vo9xDX/NdXa/o0uoC/LhWINn9NiX56i3clmbT9KNLPJdKypkF9KhWJKk1/SvQzWnQNoXWIREdoElmWmXjJTCZeMpPqShOyRkYf0PiCR4DcE5lUlVW6PUaSZY7v/M3DREehe+S9BAdsRpLqNJ2TFEIC1mOITiUt/yMUtW07Y+vtGUSbv3fEds5zEgp6JZuo6lXkGy/zfXAdlCIHkx10G7nKNWe2xmoxaXrDmSqusRFJ5IwCgymNqMhQzOjIcn/KWlVlFZjKG1vwLNfeCHhL5tFTbPv2Vwoz8wgKC2bUvIkMmDjUZUdySZL8osRDTaFAJTSDorEyqYnQ3AYUNjmSMt04Qq073e60qyEBeiUfg5LZKgtqc4w3YJG6EGX+Dh3lANgJoMQwm7yAJWIU1k+IREdotoAgY5OOVz2465KgdiqrMUGGLYQYne9qkCQ7eu0pIoK+oLDiBs+D9IIIyy9uCwFKqIRb1opExwsUOZgquXULIeoDDPWmbp1TCQhs2s+Hp1RV5eunPmDjpz8ha2QUu4Kskdm1ajMJw/ux9Nk/tXnvKme8VZE8x3gTAfaMMzWmPGlzCZJqbtE1Heew0KX6KyLMa9DgSHytUgQFhosoNsxvF4X0OguxGFnwmZjecY0mR4qikDBigEfnCw/8FlV1VwxMJTzwyyZE6B06JZ/G1hLo1NIGXcoF/2QIDGDAeNcjJ+CYuho+e6xXrv/rxz+y8dOfaq9T9/eTB1P58JFXvXLdlqjb00qbdJD0Mz2tWqMasl0OJS3kH+QG/A6b1PhUtYoGi9yykS1JtdKzYjlR5m9rkxwArVpMt+p3iXHSlkFoOyLREWpVFJex5q1veOLKZfz9ont5496nOLxpX7MqITujM+iZsmROva3mdckambh+PegzwrMqvTpNNpLkOjmQJNBq8uo9VvOGC5BpSSNFk+Zh9M1nl4Jp7EdNwdDoMYL/mHfzxS5HKCVZpu+YJHoNbf1GtnabnZ/f/d7l86qicHjjXvJOZrf6tZur5mcukRRH89ypUa3euFORjBQFLOB46PNYpQiX4zo1tagUuWXT2eGW9QTajzjpSecQZV5FgM377y2CZ8Q7qwA4ysA/vuQv/PDal2SnZlCcXcCRLQd4896n+Pjvb6A0YVu5O/OXXkL/8Y5FtpJ89s1IkiSCI8O48Ym7XSZC57IpXVBVN9s7VbArZ+tm1L2rLArb61gb4IMmgqW6ye4r9SJTop8qhrrbkT4jBnDD8rtqC/JptJraJrf9xiRx05P3ePx93BRZKemUF5W5PUaSJJK37G/1a7dE9wQdUQmO6uhe/ZmTNGQG3YWKtsHWbxUZqxxFbitUKo4wr3H7vIpMuOXnFl9HaB1ijY6A3WbnjXufwlReVbs9FqhNbnZ+v5EeSQlMvbzlWyW1eh1Ln7mffWu3s+WrnylIz8UYGsTYBVOYsGgGQWGe32mVVF1EqHGtmyNkiisXA5C7ajchWUcICc3g2LQcpLg4nyQ5AFXaQVRoBxNkS3ay3VlGQU+hoWO3I+iIhs0ay4AJQ9n70zayT2SgDzAwdMZoeg7q47Vr2q3ua8YAIEnYbB4c10FVaZNIC/kH0dUrCLXuQELBjpESwywKDBdhl1vejkav5LhdCyShYLB7dzG64DmR6Agc3rjXfaE+CdZ/sIrJl812uy7BUxqthtHnTWL0eS1rZ1BRPZVK81gC9bvr7boCUFUNVnsMKXtnYzm+m0RSKDqzALK1h80bJUlkBN1PXNWrhFp3nBlWl5BQsMrRZATejVUT47t4hFZjCAxgwqIZPrteTEIcWp0Wm5uER1UUegxsYZPMds6s6UVm0N1kqVZktRq7FNTyJpd1KJIRWbW6fF4F9PZMIsw/UaqfiiJ5Z2G64BmR6Aik7jmCrNWg2Fysd1GhKLuA8sJSwrpE+DY4tzScLnyBbmH/Jizw+3rJTqV5LFnF/8Bm05DIDgxh+QRMGkNQPL5Ncs5QJCMZQfeis+cQbNuHrFqp1vSmUju4Vd+AhY7NGBzImIVT2P7tBqd1fCRZJiq+C/3GDmqD6BqqmS42kMLxsL2ORcj4LglTJR12L2zxLtVPJtK82s1OStBSSqzpbbpUf87poGVUa7030ie4JxIdASQPm1/74RoSVQ0kq+Sf5JXdTaBhp6OSsHUoFlvvM0c4Svwbe8dS3GZRnmXVxFKsOa+twxDasYv+eCWnDqWSk5pRb6OArJHRGw3c8PhdXlkf1FT11sTFFzsWIftoutjbivTnE27+BRmL22QHHE1me1X+m+Mhz6HIQb4LUqglbiUF+o4aiN3VaA6ABFHxXQmNavtKqq7YlC6UmRZQarqwTpIjCB2PMSSIP775VxbcsYSI2CgkSSIgOJDJl83mgQ//RXz/Xm0dYm1RwLiKtbU7rXy1Js4XrJounAr+P2xSOOCYqnK1N1VCQVarCLdu8FV4wjnEiI7AoCkjiegWTWle0dn+U3WpMPN35/vFXaIgCI5inXNuuJA5N1yIqqp+87PpraKA/qham8jx0OcJtu2le+XzyLheswMqwdY9FBn8oyVIZyMSHQGNVsPSZ+7n5d//m8qSitrh8JqqqxMuns6kS2e3cZRCa5LUaiIs6wk3r0OnFGKXQyjRz6BIP7fFNUaE5lHsCslbD3Bs+yEURaH3kESGzx6HVu9+jYm/JDk1uifoiEuI5HRAFEGjOs4ojlOShgrdGFQ04CbRkQBJ7bw74dqaSHQEALoldufBz/7D9u82sGf1VsyV1XTr14PJl86i/7ghfvdmKjSfrFTSu+LvGJQznaxRkRUTXao/J8K8jrSQv2GTG29u2VJ6exYR5jUE2Q4BEpW6IRTr52LRdPP6tf1NQUYur/3xvxSk5yBrHdW+N322hq+f/pBbnrqX3sP6tXGEgjsmbR+CbEdcrtdRkTFpW7+ApOAZkegItYLCQ5h17UJmXbuwrUMRvCjW9C4GJaNeVVdHGquiVYvpXvkiJ0P+5tUYQi2bia96+cy1HR8OBnMmkebVZAbeSZl+olev70/MVdW8dPu/KSsoAai3+7GqrIJX7vwPf/lkOZFxXdooQqExxfrzCLb95uYIlWL9HJ/FI9QnFiMLQieiUcoIs25xs1NEIdB+FIP9tNdi0NszziQ5Sr04HP+vEF/1InofFlurKEr12bWc2f3jFkpyna+PUxUVm8XKxk/dV+L1N239d+pr5boxFOrnA/XbiqrIqEC28ebWqZWl2gi27iLCvIYQy04k1dLyc3YCYkRHEDqRAPtJJNw3D1UBo+04Zk1Pr8QQVb0SR5LTUE1T8AjzGnIDr/fK9etKTQQwIe/8gaCy7uQzny5J3p+2q2v/uh2O0g0uesopdoU9a7Zx8b0tb13gTTXVx5XQDHbUVB9v66B8RZLINV5PlXYgUeYfMNpTUZGp0A6nMGAhJu3AFl8izLKRGNN7aNUKVBw/K3YCyTVeQ4lhVovP35GJRMePWM0W9q3bwdFth1DsdnoN6cvYhVMIDBW1F4TW0vggruThcc0hqdWEWTc1Wj4/2LafXK9EcFZsRBJEJJHKKlRjDj1SiwnaDLlpA5ETevks4amurHaZ5NSwmKp9EktzdKadVm5JEuX6CZTrJ7T6qUMtW4mverl2srnm50emijjTG4BEiWFmq1+3oxCJjp/ITknn1bueoKygBFkjo6oq+9ZsZ+XLn3HD43cxaPKItg5R6ACqtH1R0CPjeshbBSp1Q7xy/Qjzz0j41+6TPkkLyIlNJiMuje4cJC4zg6y0OeSDT5Kdbn27k3EkzXlpBxzNb7v16e71OJqjblFAU1LHKgroN1SFGNP7taM4ddWMgHat/vhMY2Dxke6MWKPjB6orTLz8h8epONOVWLErqIqKqqpYzVbeeuA5ck5ktnGU7U/NmzBApiWNFE1aG0fU9lQpgCLDvHrrCOo9j0yZbhxW2TsLXyM86OisgqM1hg/FRiQRGJtAxtQolLEyiaSgpJ0iP7nA69eetHiWyyQHHOt0Ji/xv4WsNT9fiaR0yKKA/iLQfhSdWuxyFFQCtGo5wbZDvgyrXRGJjh/Y9cNmKorLaruF16OqqIrChk9/8n1g7VjdyqxFYXtJTUS8CZ+RF3AF5drRgCOxqfu7SdOH7MDbvHZtrVLkUbuRYsM8r8XgSk2yAxCVEEr3hNbvkeRMz0F9mHPDhY4/nFvGQYKhM8Ywcm7rT4e0hu4JOqISHN3Axc+Xd2iUMs+OU0u9HEn7Jca5/MChDXvcPq/YFQ6s28Hly270UUTtW82iyB5JxexIzOmc6wXckbRkBN1LkO0Q4ZZf0Cn52KRwSvVTKdeNAUnjtUvb5FBkxeQy2VGBarkXZk0Pr8XgjxbcsYSuCXH8/O73taO34TGRTLtyPtOunI+sEfeknZVVjvLsOMmz4zojkej4AWu12XWjlDNsVv9a1+CPzl0vsCPRTNCoyeIu0xlJplI3jErdMJ9etlQ/nS7Vn+PqG14CCgIW+zQmfyBJEmPOn8yY8ydTWVKO3a4QEhmKLIsEp7Or1iRikaLRqQVObxBUwCZFUaX1j471/kgkOj6WnZpBQXoOAcGB9BnRH41WS/eBCZw8mOJ2MWJ8f+9s9e1oEknBEB+EOimRoHhEktMCOnsOodadyGo1Zk085bqxqFLLpnOK9HMdbSfU4ga1fFRkTJpEynWjW3SNlkoxZmHOKiSydCQKVq8uSq6uNLHxszVs+XIdJblFBAQZGX3+JGb+boFfJzk1NxUGUjgetpf0RDNBJLR1WB2PqtKl+nP0aoHTWwPHYxLZgTeC5L/fL21NJDo+knn0FJ8tf4vTh0/UPhYcEcJ5t13KpMUz2fDpapevVRWVqVf4fs1Ce2XsHUtxWwfRjkmqhW5VrxNu3Xxm7Y6EhB27FERm4B1U6EY1+9yKHMzJkMeIr3yRIPuR2sdVJMp0Y8kOvNWrU2eNiY1IImcUZMSlwca9xGWe9NoOLFN5JS/c+i9yTmSgKo6PrOpKE1u//oVdP2zhD68+RI+BvVv1mq2hZv1bSGgGRfFip5U3hVl+pYv5a6DhjisAFT3pgfdQqRsJgKxUEG7ZQJDtABIKJk0/ig2zsHk4/dVR+SQFfOmll+jduzcBAQGMHz+eHTt2uD3+888/Z+DAgQQEBDB06FBWrVrlizC9JjslneeX/oP05JP1Hq8oLueLx9/ht037uPgeRzEwqc5dXE1/qbEXTGX47HE+i1fo3OKqXibMugVw1LSpKTAoq1X0qHwKo+1oi85vk6M4FfIoqSFPkGW8lUzj7RwPfZ7MoHtQpLYvMVd3B9axaTnEVawlaPNqclftbtXrfPvCp+SmZdYmOTUUu4LVZObdB19wvkGhDeWu2l2b5BybliN2WnmTqhJtXuF2VYOMBUUOAcBoS6Ff+d3EVH9AsG0/wbaDRJtX0K/sbkItW30Ts5/yeqLz6aefct999/Hoo4+yZ88ehg8fzvz588nLy3N6/JYtW7jqqqu4+eab2bt3L4sWLWLRokUcOtR+t859/9Jn2CxWVBdvWitf+YKxC6dy63MP0Hf0wNrUPTaxO1f+9Rau/Ostoqmm4BMG+2nCrNvr9cGqUfNYl+ovW+VaZk0PSgwzKTVM90kT0aaIjUiiT9ICpLg4jk3LQZt0kJCsI+Su2t0qW85NFVXs+n6jy+lqRVEozMzj+M7DLb5Wa8hPLiB31W4SSXEUBZyWQ9CoyfRJWiCSHC/RKfkYlFy3uxRVZIKte9Eo5fSsWI6sViPVKR7hmB62E1/1IgbbSe8H7ae8PnX19NNPs3TpUm680bFj6NVXX2XlypW89dZbPPjggw2Of+655zjvvPN44IEHAPjHP/7BmjVrePHFF3n11VcbHG82mzGbzbV/LivzbCuer1QUl5G8eT+qm8qnis3OvjXbmHzZHJImDcNus6OqKlqdmFkUfCvUsg0V2W0vrGDbQWSlAkUO9nF0vldTTNBgSqNfZCRZ6GiNLlx5p7Ib3WAga2TSk08yYPzQVrhi84mpqrbhWWFNCQkb4ZZfkTG5uEFxrOWJMv9Alvb3rR1mu+DVER2LxcLu3buZM+dssStZlpkzZw5btzofStu6dWu94wHmz5/v8vjly5cTFhZW+6tHD//allpWWOo2yQHHG1pJ3tlVJRqtRiQ5QpvQqJUuiwnWJeO/LQnaA6228Z9vRVHQ6tv2fUBMVbUdq9wFO0a3x0jYMWn6EGzdi7utu44blL2tHGH74dVEp6CgALvdTkxM/a6tMTEx5OTkOH1NTk5Ok45ftmwZpaWltb/S09NbJ/hWEhwe0ugxypmtpILQ1iyaWJejOTUU9Ngl8f3aErGJ3QmNDnd/kAp7ftxKeZHvC8GJqSrf0SpFdDF9RmLZffQrvZPuFU8SZN2PipZiw9zaYp7nUpGwSmGU60YjYW/09kRS3Tfz7cja/X40g8FAaGhovV/+JDQ6nC49Y90eI0mS31Y+FTqXUt0U3L0tqMiU6KehSnrfBeUnKopSW+1cGq2G2ddf0OhxmcdO8fIdj/u0jta5VcUzpkZ5Vo9KtRNoPUyIZYdjPUgjI9kCBNhSSCz7E9HmbzAo2ejUQkJs++hV+Tjdql6p91dY929TPfPfbOMtIGmp0vZzmRA5jpQxaRO99FX4P6+Oi0ZHR6PRaMjNrd+HODc3l9hY5x/+sbGxTTre35UXlVKQ4XzhdY34Ab0IiQrzUUSC4JpdDiHHeD3dTG+hItWb81eRsUqR5Adc2oYRto3UREgxptJ/QyVBZd3JTRvo9LiYBZ7XAJp6xTyKsgv49aMfXR6j2BVyUjM48MtORs2b2OS4m6q5VcXDzb/QtfoTtOrZNZLVci+yA2/BpO3rzZDbLUm10LPyCWTM9UZRa/4/wrqxXiPPuiM2jnU3EtHmFVToRlOsn02UeaXTxp815ywynOedL6Qd8OqIjl6vZ/To0axbt672MUVRWLduHRMnOv+hnThxYr3jAdasWePyeH+3a9VmGit7nJOWic1i9U1Agt/RKCUEWfcRZD2ArJraOhyKDXNJD7wXsxxf+5iCllLdFNJC/oFdDm+74NpAzQ6soFGTa3dgDQrb2uBXIilN2pUlSRKL7r2G4Aj3o9CSLLFntXe3B587VbUjMbV2qqoxEebVxJleR6PW3whiUE7Tq+LvBNhOuHhl5xZq3YZWLXc5VewqaakhoRJoT8VoT8WqiSXbuPTM685+rNf8f4HhAiq0I1sr9HbH6yvd7rvvPq6//nrGjBnDuHHjePbZZ6msrKzdhXXdddcRHx/P8uXLAbj77ruZPn06Tz31FAsXLuSTTz5h165dvP76694O1SsKM/KQZRm74np+1FptoaKknPCukT6MTGhrslJBrOkdwqxba9/sFPQUG+aSG3AlSG23ELVcP45y3Vh0Sh4y1VjlLn5R46Yt1S0mGGBvOMJcvWUXcZknKd/cnXzme1xg0GIyu31eVVSqSiubFbMnWrKrSlariDF9BDT8UHaMBtrpWv0Rp4P/r/UDb+cCbUdQ0dTWqTqXJwVFVGSCbIcwaftSYpiJWRNPpHklwVZHwcAqbT+KDOdRoR3dsGFsJ+L1d9IrrriC/Px8HnnkEXJychgxYgQ//vhj7YLj06dP1yt1PmnSJD766CP+7//+j4ceeoh+/fqxYsUKhgwZ4u1QvcIYGtToritJkggIdL+6XnCvpiS9qeIklRaZVA0E+nFJekmtpnfF3zEomfXu6GQsRJpXobPnkhF0X9u+OUkSVk1M48d1IrERSeSA0y3mVVOjULOy6L8B2Lya3LSBHk1lRXXvSnZqusuBX1kjN7rOzxPORpqUtFMtaoAbYtmJhMXl847dPofRKoWdvjqvc62xjuns+4dJ259Mbf9WOGfH4pNbxjvvvJM777zT6XPr169v8NiSJUtYsmSJl6PyjZFzx7P27W9dPi/LMgMnDSMgWCQ6zVX3jlQZK5OaiN9vgY0w/4xByXBZmC/Utosg20GfN93sNFQbodadBFv3IGOhWtOLEv0MbHLjo6ouv68iksiJTeYYm+mRWkxiqZbUVSAn9HI7ujP50ll88Z93XT6v2BUmLprRaFyu1NwEdE9o2KdMaWEDXJ1ahGMFhPudejqlWCQ656jUDibC8kuLziGhUKURiU1jRLEWL4vr15Nhs8ZycP2uBqXeJUkCSWLeLYvaJrh2ruYNPCTriGMLbKK5yXekbSXCsg53d3MqMuGW9SLR8QKdPZ9elf9Cr+SeWcOgEmLdSZfqL8ky3kqpYXqzz+2sV1ZjU1njL5rO7h+3cPJgSoP3CICJl8yk19DmLeitexMQWhTU4PnsFhYAtElhNJbknD1OqKtcNw6rFOZ2nY47KhIWOZYq7WAvRNexiETHB6557HY+/deb7PlxK5IsIUkyit1OYFgwv/v77fQa3Hm3/TVXTZITd+aONL2Zd6RtRasUNbLQUEGn5Pssnk5DtdOz8l+1f7d1P2BUVOJMr2KVu1ClG9TsS8RGJEFEEidYhZqVxbjUINLdTGVp9Tpuf/Ev/PDKl2z5+ufaNTuh0eHM/N0Cpl01v1ktYJztoGooyumNQWWhifQ92SBJ9BrTDWN4gNNrlOnGEWt622UVXxUJk6YfVk2XJsff0amSjvSgv9Cr8l/IahV4VKrzzGsBuxRCetD9nXrtjacktbEFJO1MWVkZYWFhbF2fS3Cwf9XUKczM4+D63ZirqolN7M6QaSPReFAhVWgoP7mAhLR1hA/XkBUHWfFuphT8UN/Su9GpeS7f2FRkyrWjyAi+36dxdXQhlu30qHrW5fMqMhXaoaQHN2xP0xw5xclU7tlMj1QDkaUjSaUvckIvl8dbzRaKcvKRNDLR3boia5rXyb32JiC+aTcB1eVmvv7zOnZ/dAi71ZEEavUaxt8wjIuWz0JvbDj9FVX9LTHVHzd43PGxLXMy+BFMYt2ISxqljHDLL4RathKgnMZVwlOzC8uOkULDAooNc7HLHWukrKKsgokxMygtLW3VmnjiU9aHouK7MuOa89s6DMEPlBim06X6C1xNX0kolOqn+TaoTiDEtteDXl4HQLWD1Lwkoy5nU1nGtN6Nv1ABTv/W7OuaKk6ijFNRBpUxKryKQMNGqiz5lOkmuCz2aDPbeOWCT0jfk4NqP/t9abPY2fLmPnKPFnL7d1ei0davSlJouBAVLV2qv0DD2fIIVrkLWcZb222So1HKCLCfREWDSZuIKjkf1XJFUq3olDxUtFjlLiA5r+Zil0MpDLiYwoCLCbQepmflfwB77fdoTYJjlaLJMt5KlW6IGMVpIpHoCEIbKNLPI8L8M1q1uMGHroqMSdOXct2oNoqu45LUxutVObo/21FpeaIDDaey+pq8X5A+N/I4EwYcJEBjcnwdFoiw/EKM9AHpQQ9g0vZr8Jrdnxzm9M5sp+dTFZWUX09z8LtjjLjknGKJkkRRwAKKDXMIsh1Ao1Ri1XSlSjOwRR/IBttJoswrCbXuRMKKWe5OkeE8SvTTXSYNrcFR9uE9wqxbard+2wmg2DCPvIAljZZ9kFQLXaq/JMK8Fg1VAFjkrhQYLqZEP9Pt30mVbjCpIU8Saf6RUOt2pDML5Yv18ynXjRUJTjOJREcQ2oAiB5MW8jfiK18iyH6k9nEViTLdOLIDl7bKiIJTqo0Q624CbUdAkqjUDqJCO8qrHx7+olrTi1Cr6+J7jgWeXb3S4qKmE7rzVKL1aKliEl+gkxxrferWadGolfSs+Depof9tsAtq69v7kWTJ6YJoAEkjse3t/Q0TnTNUSU+FbkyrfA3B1t30qHwGx7+I40bAoKTTzfQ6wda9ZATd45XvV1dlHzRUE2X+Dp2SQ2bgPS4TDkm10rNiOYH2o/V2VOqUPOJMb6BXcskzXuU2BqsmhtzA68nl+lb5mgSR6AhCm7HJ0ZwKeRSDPR2j7TgqGip1g7HJnhWaaw6D7SQ9K59EpxbVjlhEmX/AInfhdNBfsGjiGzlD+1ain0GX6s8Bm4v1UapXS+X7Yh1ZVPW36KqrXZQuUJCxEGFeS77xinrPlWSUuUxyAFS7StEp7zcYlZVKulc+D+c0qqz5ekJsO4mwrKHYML/Vr91Y2Ycw6w6Kbb9RpXO+0yncso5A+xEnxRMdos3fUqqfhFnjep2W0Po6/i2cIPg5s6YHJYZZlBqmezXJ0Sgl9K78J1q1hP9v787j46rrxf+/zpk9maxt1jbdactStkprQUqhhVZQwZ9XBVm9XFAu+JWLovC9eFFREeSqF754vXq94IK4XAUUK0gLZSmllC5SIBSaplvSpGn2zD7nfH5/TGaaZbYkM5lk8n4+HoFm5sw5n5PJZN5z3p/P+w30dzyOfNq3me3M6bsH3ezL2vEnAkMvprngn4m8bQ0slR/56rOeQaf9wlwNLyOKQq+TrHSBhklx6LXhj6ssTFqOV9M1iquHL1HPtNLQy2iEkgxFY1rgr1lpGppu2YdEygPPJd2/Qqcs8HzqgShFQegdKny/p8L3OwpDu0CNfAm6iJArOkJMEeWBDejKm/CTvkX1UBp8kQ7nJTkY3fjpsa8gpE9nmv/PFIW3o2ES1GvocKyj0746Ycqw75iXPRsaCfnC1C6ppG5p9aiWfWebrvwplynranjbibOuXsLhv7fG2TpCmYplV2e/rlOkN1akbWU8Ggq72YpGAEX6E4TtRtPxuS8qRMAyiw7HWnpsH4ylwWxme8qyD3YzcZPmyLhSPT558tJmHKXO8wBO81B/MK6hBQyCehUHC79M0DIz6ePFcBLoCDFFFIe2xA1yjlMUh7bkfaAD4LOewGH3bf1XBcyk86HCQYOn7nieLT/bGVtyDVC7pJIrf/YRak+pHLzvLj/vbzpAOGhQu6SS6jR7XmWK3zIHh3kkSbNIHX+c1Mnyq0/llR/voH1fJ6Yx+PdEt2hUn1TBGf+Q/dSbSrvHW/pz2ApDb1Ln+R4aZuzn4jL2MtP7Hl22nTQX3ASaTlgrwh4nCIyNDT1p8UNDc2JVifuSRWYcJa6Crysfs/u+iU11AoPrPNnMNub0fZOGou/l3bLybJPUlRBTRKrO6BpgmQDd08eVpqWc9P34jX9h8092DApyAFreaeOhNY9xrLELACNk8NSdz/Nvcx/ikc88wS+v+xP3Lf1vHlzzK9oaOrN1BsN0OtYkrbSrYdLpGJ6ec7jt3PLsZ1iwavbQB3Diuvn88/orsDmz/9m4z3pa0vErdDyWk1Da8Jo+8ejKS53n+/2p2uP7jf67JPQKpf2tGLoc5yUt26dh0uVIXPahx3bOoJTo8Mcruu1nJ7y/JPgyNtUe9/wjV137+tNrYiTkis4UFfQHeWP9K2x54gW6j3ZQNK2UZR9dyfKPrcRZOMX7bilFgbGHouBWdAIE9Vq67Csx9IlVgHKkApY6rOHuFJ/0Z43zqCa2Qztb2PG7+PVsTEMR9AbZ+MAWPv3wh3n88+vZ/pu3h2VcDmxt4sELfsmXXv0spTOKsj5mn3UxxxwfYXrgaRRa7CpetB5Lp+18+qxnxH1scbWbm/58OUffa2ffq4fRNJi/cjbT55ZmfdxRvbalBPVKbOaxhG/4x5wfS3t/JcFX0AgkTSlNC/yVLsdqOmNlH4a/TiJlH+YP/9kpk5LQZsoCf8NpHATM2M966OMD+gx6bYkbvZYEN6c4G0VJcDPHnP9fiu3EQBLoTEG+Pi8Pf/47NO05EPlEqxS9HT08+YPH2Py/G/jCT+6iaNrUvDSqm33Uef6dQuPd/lVJkWmqlf7fcMR1PV2O83M9xFHrcFwYKYaXgIZJp33NOI5o4tv+m7fRrTpmOH5waIYVbzz+Fh/87Glsf/zt+NsYCm+Hjxd+uJWPf298fr5HnZ8hYJnFNP/T/dV2IajX0u64JGUtF4DKhdOoXJijJpyalQOF/5fZfd/Cro7FgrVoX7IW17V4bKelvTtXeC/JGo9qEFlOrgIYejH73V9nhvchCoy9sYBFAT22szhScOPgK4DKYKbnPygObxsWVEb+r/cfw8Rnmc+hwtuS1uHRlSfFHB/620WIkZBAZwr64/d+QfP7hyLfDFy5oBTtTUf59df/i8899JXcDC6XlGKm9wcUGO8Bg+uPKAxqfT8hrJfRZzs9RwMcmz7rUrqtyygOvw4c/8QZ/WPeYb8Qr3X0PZ7GSlN+SoMvUxx8DV15CFjq6HSsxmdZlLNCaX1tXlJ1yQn7Dbb+/M3kAZGh2PrzN7ns/tXjM4FZ0+i2n0u3/dzIG6NSmFrBpCk4F7JU0VD87xSHtlIUegNNBQlYZtFpv4CQpWpE+1Jp19vR+49dyf6ie3CE9+My9gIWPNZT4vbrKg88S1F4G3B8+Xvk39GPSDrtjkvos30An2V+yp9/wDIj5fyqoB6vZ5lIRgKdKaa3o5sdz25BmYn+IJu8+9pu2g62UDGrepxHl1suowF3OH6aIvKHS2O6/4+TMtDRlY9q7yMUh98Y9okxqFXQ7vwYXfbVOXsjtBlH+ydhtgORn7fTPERp6BU67BfS4vps9semTIpC2ygLvoDNPEpYK+FDa6t4+88mfk/iYzvcNrwdvqQ1aAACfUHCAWNc5rkMFAlwxvWQGaE0eyxYGwuP9VTKgi8mPg46XsvCYXN+AtY5BKxzkgxQUR74a8K7Iz/yMCG9Cp81ve7zXfY1lIReT7JPk07H+F11tZqdlAZfwBXei9IseKyn0mU/d8TtMHJNAp0p5uA7jZhG6noMjW++P+UCnaLQNhSWQVdyBtJQFBjvYzF7Jtd8HRVmVt93cBkNw1ZdKUAnTLftQ7n7tK9M6jz3Y1OdQwrERX5Py4PP9V/dyV59G00FqfM8gDu8O9YLy04LH77oXU76s5Pb/2E+PR3D/1zqFo3l156GUippVWEAR5EdqyNL1a7FILryoqkghlZMj20ZIa0cq+pKOOen3fnRER/Dovqwq2OptsJlNNBFeilvj/UUumwrKQm91D+24xQavdYz6bEtH/FYR6M4uIUZ3oeJpPwi132LQm9Q4f89BwvvxG+dOy7jyARZdTXFpPteNhHrg2SbpgJJF1/HtiN1v6SJpCS0hQJjb4L6OWBVnf2NBHOjMPw2ziEl9wdSwLTAn7NaMK3S9ziF4beA4wGWhkLTYNbCAF958OCwx+gWDXdFIRfc9kGWXbUkYdoquu0HrzttSr6uxlNh6O/M7v0Gi7uvZ1HPTSzs+TwV/ic4WPhlwlpxrDAkHJ8/0+r8DH2j6Cun0mzRkmwVFkQKeRYFt1IU3IpVddBc8DlanVcR1spi24S1Ytqc/5C11hdDOcONzPD+PyLVqSPr0KL/tygPszzfmVRzheSKzhQz+5QFWGxWjFA44TaapjH/zPj9bPJZwFKX8GpOlIEraR2Niag0sCnuKpAoDSg03sUZbszJp7TC8FsprqSB3WzDptoJacPnSYyVrryUBTcmrDGk64qzLuhl/mkmDX/XY4NaeMEcPvnQOkpq3JTUuDnrylPY9uu3hq260i0ahdMKOP+LyzI+dnFcaeAFan0/GRRYWFUv0wNPUBh+k4ai71Ic2kZxaBu6CuCzzKHTsYagZSY2o4Vpgb9SHHqtfz7QTDodF9FtOydhYGFqBfj0uTjN/Ql/dzQM+mzxiyxG0smPUhJ6ZUCnci0y6dl1Ax2OD2M3WwFFUK9M2Uw0k6IpuXh/M6LL3EuCr9DpuGjcxjQWEuhMMYUlbpZ/dCVbnnwh7mV2Xdc5ZdVSymvGt8jZRNBjP5tq3y+BYNw/XAqdTsfqcf2DkwlWlbzaK0Tem0uDm2jJyeXoNK/UZKHkP0Qq8eoprtIp4M7nPsCONxYS9IWpOWk65bNLB23z6f+8mKJqNy//6A1CvuMfJOadU8flP76YktrsLy2fqixmNzW+n/UH9IN/nzQULqOB8uDzHHN+nK4hc1wKwu8wq+8+NMIDigk2UOD9EW7bGzQVfDFhsNNlP5caf2Pc+xQ6Ib0i0jB32J1h6vruo8B4f0htH0Vx6A0cxhEai+4haKkZwU8hc4pC25PWMoJI41UJdMSEdem/fIajB4+w9416NF1HmWZsfsGMRbO5/K7rcz3EnDA1F00FNzHT+x+xeRpRkRoYMznm/HgORzg6Ya0MB4lL+0fZzFTzDbLDZ1mIxtMJ71dAWCslpGdnuXO6ySSLTeeEVXMS32/V+eg9q7jw9hXsffkg4YBB7SkVuVumPYWUBl8EzCTPpaIs8DeOOS4blL/XVKC/mGBoyKqpyL+LQ6/jCzxDh/PiQXuzmseo9f4Yd/h4SYHjS9Ej/w1rZRwovCNukFQc2kahsSfuSDVMHOYhSoMvZXVeWjIaia/4R+4HXSXfZiKRQGcKsjsdfP6hr/L2Szt47U8v0nnkGMXTy1j20XM5bfUyrLap+2vRa1/Ofv1upvufwB3+OxoQ1tx02tfQ7vwYpjb5iil22VdR6Hs3xVYa4RxNsO61nZl0sihodDjWpqxgPFo+yxxMrOhJ/rhrgM+6KK39OYsdnHLJCRkanUiHwzhM8v5YYFNd6PgwKYjdXhzckrJ2TXngr3Q4PhwLkCxmD3N7v45VDa52HT26gZujrsvptp+dcHVSaXDTsA9Tw7YJPJ+zQMdnmUeB8V7SZe7priSbCKbuO9oUZ7FaOPWCszj1grNyPZQJx2ddxCH3HWgqgK4CGJp7XCYAZkuP/Wyq/L/GonqSzNNRdNvGtox31DQLBwtvZ47nnv6GlNH5CpE3gl7rmbQ7PpK1w5u6my77eZQFX4j7h12h47EuJmCpy9oYxNiYmoNU1+YUGorBS8ijdXJINj9MHcOiejG0yAeB8sCzWFVnghVcYKWXoF6ZdAm21exI0aaDWL+rXOhwrKPQm+zDkaLTfsG4jWesJu9fbyGyTGmOyDLySRzkACjNxn73XSgscT/vKqDPeipea/YbNiYSsM6hoeh7HHN8jKBWSVhz47Us5HDBLRxOUU02E1pdV+G1RK7CRHsdqf5/h/QKmgtuyerxxdj02s5KupBAodNnPSNOf6z0XttqQAPR0gQB8cBjlQZfSrq/sF6Wor0uhAasuhpvvbZldPRXSR/Y+0uho4Ajrn8aceHGXJIrOkJMAUFLHfuK7mNm3w9wqqZB8wm6bR/iSMH1Oa+aG9bLaXN9mjbXp8f92EpzcsB9V3/PouexmW2EtRK6HefRZT9vUqYspxKP9RR8lrk4jQNxelRF/nvMeemwx/XZTqU8+FzC/So0/PpsTL0wdptV9SQdi4Y5LK01VJd9Fe7w7qTb9Nni9yMbF5pGi+sf8VpPojzwV1zGvv5g8TTanZfgs06uVbkS6AgxRQQtM9hX/D1cRgNOoxGFlT7bqYSzNMk3m3TloyT4CkWxpcJz6XKsHlt6SbPSbT+Pbvt5mRtontOVF4vpIawX5bZarqZzsPAO6jz3U2A0DLgCY6Cw01Twz/isC4c9rM96JgG9CrvZliAVpWgf0kA0rJVgUx0Jh6LQCWvlSYfr12ekPCW70Zxym6zSNHrsK+ixr8jtODJAAh0hphJNw2ddMKkmEg5lN5qY3fctrKoLiFyZchl7mRZ8llbnFcPemETmOcP7qPD/L+7wLjQUJlZ6bGdz1PVJwnpuSlNEGnLeQ4FRH1kerYIELHV02z8UaYMRT3+ANKfvW1hVOwxoIKphctT5iWFv9J2O86nw/zFJ7RyTLkfyYLkk9FrSycgaUBzeRrMKojR7qlMXKUigI4SYPFSY2X3fwTpkYnX0DaPK/zgBywz6bEtzM74pIFJ35l40zNibvU6YktAruMM7aXTfk7v5G5qG13rSiJrThizV7C1+gJLgqxSFtmJRAfyWOjodawhYZg/bvsO+jtLgS9jM9jhpMo1e61K8luTz3ayqp7/beZJTwURXXgwJdMZMAh0hxKRRHHo9Zdpgmv9pCXSyRZnM8PwIrb81wECRirkeqn0/55D7Kzka4OgozUmX4wK6HKlXEpm6m/3ur1Pj/Wn/Fa3+27HRaV9Dq+szKee7hfTyhFeEYsfBhqkVJt1GpEcCHSHEpFESfDFFOwuTQuNdNBWKs8JGjFVh+K1Yh/l4NEzc4Z1YzfZJOfcrXWG9nEPur2Iz2nAa+1CaFa9l8aBJy8l021dS4f/fhPcrdLrt58rvcIZM7nWzQogpQ1e+QZVok8teA9CpzGE2DVpuHI8G2I0j4zOgHAtZKui1L6fPtjTtIAcgpFfQ7hi+CgwiQY6hFdI2CauwT1RyRUcIMSmUBF8h0k05MQUEtRqU5gDAGd5LWWAjDrMJQyuMrCKxfVAmeI6SiZNE1YcHbSfL8VM66vw0Ya2Y6YEnsKq+2O0e68kccV2fs0nd+UgCHSHEpOA0GohchE5eUbbDsQaUosr3C6YFn4mtblFoFIV3MV1/kgPuuwjryZcAi+F6bWdS40v8HET6kpXjt+SiOewko2l0OC+mw3ERBcZ76CpIQK8lZKnM9cjyjgQ6QohJIr1eV1228ygLbmBa8Bng+Iqs6ORPu9lKXd8DNBZ9e+xFElUYd/hNbGY7hlaIUmDBS1ifTp91Sdb6c+WKoZfQYb+Q8uDf4k6m1YA25z9M+mri40qzjmiVmBg5CXSEEJNCn/VUyoLPp9xuQd/taIQSTlrWMHGZjbiMPWOq8Foc3EK179H+pcLHjxX9d1gr4YjrH+m1Lxv1MUZLU0GKQ6/hDu1EU2H81tl02S/IyFWsVtdV6CpIWeiF/pYAWn8wqXHU+Wm6HOeP/QSEyCAJdIQQk0KvbSlBvSJu/ZKBIg0Xk1PouEO7Rx3oFAVfZ6b3wdg1jcE1fSIsqpuZ3h9wSLudPtuZozrOSFnMHsoDf6E88CwWArHxFYW3U+F/guaCz9FtXzm2g2hWjhTeyDHjY5SENmMx+wjp0+i2n4uhl4z5HITINAl0xKTm298CtdW5HoYYD5qVg4V39ldFjtTSiX/FJq2dJW0CmZQyqfL/Kuky9+g4FFDl+xV91jOy3kusLPA3qn2/YGAn7oHtGBWKWu+PCepV+KyLxny8kKWaY5ZPjHk/QmSbJFLFpNXAAgLdFfhffQPPjs20dNbnekgiy4KWGvYW/ztHnP/IWP58aRh4R9kGw2U09PdGSuc44DCP4DT2j+pY6SoKbqXG90h/Ib9kAaDGNP/TWR2LEBONBDpiUqo4cTpVFy+lgQWE65ew8KVqPDs2s69+vQQ8eU5pTnrsK5KmryDxImiFTkgrp886unSSRXWPy2PSphQV/t+nrG8DkflJReGdoFIvERciX0igIya1qouX4jlnLb09M1n4UjUzX27H29IowU6eMzXngA7ViSkYFAAodEwcHCr88qhXBoW1kVf8zWaVYJt5FKfZlLKlwHEG6dTCESJfyBwdMelVnDidNtbS23iA+d17cTQcpIFGWoDqsuTN9cQkpVnpsS2nOPRa0g7QbY6P4w7txG62YGpOuu0fosOxbkyBh98yB79eh8M8nDK4UGj4LXMIWOpGfbxUdPxpb6vQCOgzZfm3mFIk0BF5IRLsAI17mWGfi2ZAc64HJbLqmPMyikJvAKFhAUe0i3Sb61O0uT6V2QNrGi2u65jt+Xb/hOT4wU7kSpJOi+uazB5/iJBegYkVnXAaWys6HB/O6niEmGgkrBdCTEoBSx0H3P9KSIvUhonWdFFodNs+RFPhF7J2bK/tJA64/5WAnvhKjV+fxX73XWOq1ZMOUyugx3Y2Ksmfc9X/1WNbQZf9vKyOR4iJRq7oCCEmLZ91IXuLH6QwvBuncQhTs9NrO3Nc+gR5rSexr+i7OMyD2MwOwhQDJlZ6CenTCVhmZX0MUa2uKygIv4NNdQxK5UWvNYW0Co45Px4JciRtJaYYCXSEEJOCzWjDqroI66WE9Irjd2g6HttpeGynjf+gNI2AZTYBy+zxP/YAhl5KY9G3qPD/kdLgJnSCKMBjPZU2x/+Hzzb2ujlCTFYS6AghRsxhHKIotA1dBQhYZtJjW561juCu8HtU+R6jwHgvdpvHsphW15X4R1kLJx8ZegktBZ+l1XUVFtWDqbkwtYJcD0uInJNARwiRNl35mOH5fxSFd8TmxOgYVGuP0lRwc8ZbHRSE65nd922GdssuMN5jTt83OOC+KyNVfvOJ0myjWgKfeIdmf1qsk7BWgsd6Emjy1iEmD/ltFUKkbabnPygM7wYixeeiFWp05aPO8+/sd38dn/WEzBxMKWq8PwXMYSubIvNQTGq9P6Gh6IGst1eYqtyhN6jxPoKtv+UGQFgrptV1Fd32c3M4MiHSJ4GOyCsNLKB28wb8MzrxnjtNaulkkDPcgDv897j3aSgUGtP9T3LIffug+3Szj6LwTnTlI6jX4LGenNaEWJfxPg7zSML7I+0VmikKvU6vffmIzkUM5zAOUO5/pv85VgT1agqMd4dtZ1E9zPD+CGDCBjuaClEUep3i4BYsykPQMoNO+/n4rfNzPTSRAxLoiLwRraXT3LiGovp3mcluDs1vZl9tI/NOvDjXw5v0ikOvobAkbIapYeIO70RTfpTmBGVS6f8t5YH16IRRaGgogtp0mgtuwms7KenxbObRtMZV7XuEXttZsppoDEqCL1Pr/U8izU4jaUKr0ZWwZ1akWekv6batmDhpLGXiNBqxGW1UBn6Dw2yN/c4VGO9RFtxIu+NiWp1XyRXAKWaC/IYKkRkVJ06HE6fTuh6K6mFh02HeW9nMPtZTUD1Xru6MgUV50+jYrdCVH0NzUuX7BeXBZ2PbR9NPNtXObM93aHR/I+knbFMrTGtcNtWNO7wr4/ODpgq7cYRa74+hvwpRVKrO7FbVizu8mz7bGdkeYkolwRep9P0em2oHji+rj55PNHibFlhPUK+m03FhLoYpckQ+Aom8FO2B1exew8KXqpnfgPTAGqOgXpOykaaBC0NzYzPbKA/+LcEVgUj5ukr/75Luy2M9BYPUq4YUOoWh3Sm3E/GVBTcAyQObRKxmV0bHMhrl/vXM8P4Ya3+QA4nPRQHTAn8Glfz3WOQXCXRE3qo4cTr63Nm43HOYYZ/LAmNuroc0qXXZzyXZnwyFTqdjNWhWioNbSPbWqWFSGH4Ti9mTeH+ajXbnR9IYmZYyABOJFYTrR/3zC+llGR7NyFjMXqr8vwbSC9Q0wG62pZ0WFflBUldCiLQYegktrmuo8T0Sm/sQpdAJ6lUcc1wKgEX19m+TmAZYVB8GxQm3OWb/GOX+p7HgTbgvDQNviiXmkbo/b6CrAH7LTHpty7JW92fyGfm1HAUYWgke65LMD2cEikObGVp6IB1D55lpKkhxaAuFobfQMPFaF9Ft/5DUIcoTEugIIdLW6biIsFZKhf8POM2DAJjY6bKvpM35KUzdDUBIn5byKoFCJ6yXJj+gbuGY8xNU+X+ZcB+G5qbHtizu/ZryM8PzMMXhNwbV/TG0R7JS92cy6rOeitPYn/D5GjovK/p9i+sa0CzjMMLE7GYbCj3hBPl4DAoJ6ZWx753hRmZ5votV9cT6hRWHXqXS9ziHCr+E13ZKxsctxpcEOiLvHW0O4yhpQwV9eC2ATEgek177MnptZ2FV7egqQEifFlllNUCP7Wyqfb+CBG9ACp0e2/K0PjF3ONbhMt6nJPRa/5uaGduHiYODhbcnXPkz0/MfuMNvAkPr/nj76/7cjc+6cNBjHMYBSoMvYjPbCWvFdNtX4rMsiL9SRylcxl6cRiMKC32208alz9bx45tjXm3W6VjDtMDTMODnE9t9nO3D2jRaXFfRa//gmI6bCWGtKGH3+HgUGh2OC1GaDYiUPpjl+Q4W5QUYFOzpBJjluZ+Gou8RslRlduBiXEmgI/JaZMn5Wg5tfpaiJg/z0WmQFVhjp2mEtcRv6IZeTKvzcqr9j8W5IqBjai6OOj+V5rF0mgq+QG9oGWWB53CYhzBx0mM/mw7HRYT1+FWAneEGisK74u+SyJv4dP8THHJ/tX9gJjW+n1EWfL7/k70CdMqDG+ixfoCmwv8Te4MEsBtNzPQ8iNM8iIru0afRY/sgzQU3Dgv+MsVqdjAt8BdKA5uw4CWsFdFlv4B2x8UYeuI0YCJhfRqHC29jpuf7RIKd44EkKJpdnyNoqcFqdmDoJXgtiybMUv4e29lU+n+bcrvo8+O1nMgx58djt5cFN2FRnrjBUuQ2g/Lgs7S6rsngqMV4k0BH5L1osNPbeIDabRuY2dzJ4XORYoJZ1uH8CKZWSIX/99hUZ+x2j/UkWlyfJWSpTn9nmk6PfQU99hVpP6R4yBWgYbvExB3eFav7Mz3wR0qDz8fui4hckSoKb6fK93NaCv4JAKvZzpy+rw+4EhB9o1QUh7Zi8fRwsPD/ZjwgsBktzO27G4vqO17vRvUyLfBnSoKv0Fj0TcJ6+Yj322c7g73FP6QssCFyBUyZeG0n0WlfQ9BSk9FzyKSQpZJO+xrKghsSXo1S2AhrxRhaIZoKU+17lC77BfisCygKbSP+dasIDZPi4OsS6ExyEuiIKUGKCeZGl+N8uuzn4TIa+isjVxOyVKZ+YAZYlC+tCdG68mOiMc2/PsmEZ0VZcBNtzk9i6CVMC6zHorxxg6hIAPU2heG38dgyO1l3hvdHg4Kcgce0qk5qvD89foVqhML6NNpcn6aNT2diqOOmxXUdCjvlwWeJBKaRifJhrZwW19X988kOo1QHGgpXcC9lwRfosF+IpoIpp2JrhMbhLEQ2SaAjpoxoMcG2+tnMbbQyz7DQbEBzZ71c2ckmTc9c/6sRCOjVadf9KQzXY8GXdFsNg8LwbnrsH6Ik+FLSfSt0SoKvZDTQcRgHKDDeTzK+yBUqm9FGyFKRseNOeJqF1oKrOea8FHdoBxZ8BPQaPNZTmdP3TRxmc2SzIcUDy4PP4bUsSHrVT6Hjt8zJ+JAtZg+lwU24jPcBHY/1lP5VXq6MH2syae16Lyv7lUBHCJGXuu0rqfL/hmQTorsc54NmRTf70tqnrkKgFBaVfHsNE4tKXCNoNJzG/pTbRPp/HZhagU4/Qy+m27Eq9r0z3ECBsSfh9gqwGa1JA1YNkw7HRRkcJbhDO5jp+SEaYaJr2IpCr1Ph/x0HC++Ysv24Wjrr8f79tazse2LMKBNCiDGymN2UBZ5jmv9JioNbMDUnLa5rgehk1OMidX8qabNfxjT/n5jh+1Faa3f8ltn9E7HLk26v0AnpmQ02VJqfS9PdLt+5w2/GlovHowE2emm3rwMYtG3096XDvoY+a+ZKENiNJuo830cjhNZ/lOj/LcrDbM+9aQfd+WRf/Xo8OzYzozE7ta3kFSGEmNyUSaX/caYF1hP9hKxhYmgFHHH9E4cK/mVI3R8bXfbzaHN+itLQK1T5H099CHT8+mz81nkAdDpWU+H/XxJNZNUw6bKvysz59fNYlyRtqgpg4sBrXZzR405ekfk6qXQ5VuGxncw0/9MU9l8B8uuz6HBeTLft3Iw2AC0PPMPwsDsi0ifOS1lwU5oVwSe/ls56vC2NzG8AfVs1R47FX0E5VhLoiCmpgQXUbt6Af0YnnvkBWs6UFVhRzvA+ygPPUBh+G4j0nOpwrMNvnZgtNCJBztMD3jwiwYeuvMzwPsihwq+yr+i72NQxNBWM1f3RVJAK3+9T7j9SlLCApsKbY7d1ONZREnwFuzk89aGALtuqWFCUKYZeTKf9fMqCG+Muh1ZAu+PDWVvWPtn4LAtSFhI0cBHUawhYZtNn+wCocOSORB3ZlaIg/A5O8xAmdvpsp49olVtR6I0U88YU7tD2KRPoACww5lJrhy63gXfBMvifzB8jq6mrjo4OrrzySoqLiyktLeX666+nry/5ZblVq1ahadqgr89//vPZHKaYYqI9sJrdawjXL6GuwYFnx2b21a/P9dByrjSwkbl9/0pJ6BVsqgOb6qAk9BJz+/4vpYGNuR7eMBazi2mB+KultP7/Vvh+A5pGSK8gaJkRCwQKw7tTTkAG6LUuZV/RvQQtM2K3mVoB+91fp9u2YlDKw6CANucnOVJww9hOLIFW1zX0WpcC9Fd6Pp5y6badS5vzH7Jy3MnIYz2VoF6RMH2l0Oh0rB7cCkSzJgxynOEG5vf+C3M836LK9wtqfD/lhJ5bqPH8F5pKb2VWZF5OsvtllVc2ZPWKzpVXXsmRI0d47rnnCIVCfPazn+XGG2/k17/+ddLH3XDDDXzzm9+MfV9QIP1GRGYNXIFVuBkWNh3GPIspXUzQYRygxvff/QHC8SsG0SCixvff+KwnELDMysHo4itOWQdF4TIPYDeODKsHk2pCcVS3/Zy41Y4NvZjmwltoNa/GaRzC1Kz4LfMHFRXMNKXZOFx4Gy7jPUqDL2MxuwnrZXTZz5uyk1gT0nQOFX6JOX3fRFf+AYUQI7yWhbQ5P5nWruxGE3P67okFIQPrJpWGXkT3+mgqvDXlfvyWeRSG30qxykuex0zLWqBTX1/PM888w7Zt2/jABz4AwEMPPcTFF1/MAw88QG1tbcLHFhQUUF2dXjGxQCBAIBCIfd/Tk9mVDiK/DS0mGKmc3DgliwlO8z2Vcpvp/idpKvw/4zCa9ESCFZ1EK6uOb+cZdtvAfkfJpNrO0Evw6CVp7SsjNA2fdRG+FI1MBQQss2koup/ywDOUBF/BonwE9Uo6HRfSZV+VdlA63f9k/wTieHWTFCWhrbSHG1Omdzsca2MtSeIz6XSsSWtM+ULtb8TX7AKyt1Iwa6mrLVu2UFpaGgtyANasWYOu62zdujXpYx977DGmT5/OKaecwp133onX60247b333ktJSUnsq66uLmPnIKaGaCrL5Z7DDPtcFhgTcy5KtrnDb6YsrlcY+vt4DSctQb0y5TwMhUYwzhUZr2URQb0ywdTQyOP8+qys1FER4yesT+Oo60reL/lP3i19lH3F99M5oN9VSipMSWhLirpJFkpCr6TcVZ/1jAGrvAbOKou8Fbe6riFgmRrvYdGVVuXNLg7Vl9HAAqYvnGSTkVtaWqisHPxJyGq1Ul5eTktLS8LHfeYzn2H27NnU1tby5ptv8tWvfpU9e/bwxz/+Me72d955J7fddlvs+56eHgl2hBgFnUBGthlPvbazMHCh44sbrih0+qynY0S7pCuD4tDrlAY3YjdaY292qr+a7sDHKXSOFFyf0VU3o2UzWikP/g13aDuaCuOzLqTDcRE+WWGVdZG0V6ru6AqL2Zt6Z5pGq+safNaFlAf+isvYC2h4rKfQ7vhIxitpT0TRlVYzX27H1VTNoZ4yPOesperE6fT1ZScjM+JA54477uC+++5Luk19ff2oB3TjjTfG/r1kyRJqampYvXo1DQ0NzJ8/PHfpcDhwOByjPp4QIsLEgZ5isqQie/NPRkNpdo4UXM8M7/+LG6yYmpNW11UAaCpInecB3OHdsWq4SkW3tQ6aKOq1LKLVdeWEmPdSGNpFneff+7uvR64q2EJbKQlt4ajzHzjm/ETiByuDotAO3OEdaCpEwDKHLvvKUTX/nKpMrQADJxb8SbdLu26Sph3v2xb9BZwAwfR4aOmsx7NjM3UNDlxNZTS716AvmR2ZM5lFIw50vvSlL3Hdddcl3WbevHlUV1dz9OjRQbeHw2E6OjrSnn8DsHz5cgD27t0bN9ARIlOONodxlLShgj68FmCKzdHx2JZQHHotYfpKAV7rSeM5pLT02M/B1FxU+n6D0zwERMbaZz2NVtdVsUnIFf7fUxh+CzjeBuD4uZr49Dm0FPwjIb0s7uTjXLCYPdR5foCGMSiIi46/0v+/+C3z6bOdPuyxNqONWZ7v4DBbjq88Cr1Khf+3NBf884gapE5pmk6XfRXlwb8lSV+ZdNlXjmLfUyPAgUiqSjU3s6xhPofqy2iuXUzVxUvH5dgjDnQqKiqoqEgdua5YsYKuri62b9/O0qWRk3n++ecxTTMWvKRj165dANTUTNwOumLyi05KPrT5WYqaPMxs7mTfFFuBdcx5GcWhxCXYNeCY89LMHVAZuMO7sBstmFoBvbalo77S0Gc7kz7rGdjNI1hUHyF9+qD6JpryUx54Lm79GYgEDi5zPwrrhAlyAEqDm2JVdONR6JQH1g8PdFSY2Z5vYzPbAIa8QYeZ4X2IkF6Bz7ogOwPPM8ecl1Iceh2r6oob7BxzXEbIUpWDkU18yVJV4yVrk5FPPPFE1q1bxw033MDrr7/O5s2bueWWW7j88stjK66amppYvHgxr7/+OgANDQ3cc889bN++nf379/OnP/2Ja665hpUrV3Lqqadma6hCAJFgx3POWprda3A1lTHz5XY8OzbT0jn6VOxkErDMpsV1HTB0omTk363OK/BZF2bkWO7QThb23MwszwNU+X9Nje8nLOz5Zyq9j4FK3ogzIU0jaKnFZ104rIib0ziYcn6RQqPAeHd0x86SgnA9yZfPmxSEh4+5OLQtbjHDyGMi/53m/3PGxpnvDL2UxqJ76LUuHfTaCGvFtLiupc35qRyObuKKpqoiQU4kVeU5Z23WU1VDZbWOzmOPPcYtt9zC6tWr0XWdT3ziEzz44IOx+0OhEHv27ImtqrLb7WzYsIEf/vCHeDwe6urq+MQnPsFdd92VzWEKEROtr9O8Horq32UZnbzOZvbVNjLvxItzPbys63SsxW+ZzTT/X/vTPAqP9UQ6HBfjtZ2ckWMUhOup8zxA9A38+JuxwbTg02gYtBZck5FjTVXu0PakXbk1TIrC2yNzRKZQ+mQswno5h923YTU7sRvNKM2OzzI3cRXlKS6XqaqhsvoMlZeXJy0OOGfOHJQ6/mmlrq6OF198MZtDEiItVRcvpa1+NoHGjZxnVNNsQHNn/ZRIY/msiznszt5qngrfb4lcPxl+pUIDyoPP0O78yIhK66fit8xKOaFUQ+GxTKzn12M9GXf47yS6qqPQ8cSZN6UTSviYqMhKokhvMJG+sF5GWC/L9TAmtJbO+khrB2MuXd0GnnNWj2uqaijpXi6EGDdWs4NCY0/COSdRxcHEc4VGQ2lOOh1rktTM0fFaFhGwzsnocceqy74KhT3huDVMOhyXDLvdn6J6tQICeg1o8hYg8p/8lgshxk16bRd0LCqNmiQj1Ob8FB5rZK5fdBWS6v8K6RUcnkAVn6NM3c3BwttR2Ab1bIoVmHNeGbf2iteyiFRXdHqsZ2V0rEJMVJJcFCIF3/4WqE2/JIJILKSVJ507EmGkX5NkBJRm42DhVygKbaMsuBG72UpYK6LbvpIu+8oJ2/XbazuZvcU/oCywsb/7dRivZSGdjosSthwoCb1GJCWVONixml1ZGa8QUb79LWSztUO6JNARIokGFlDbtB//q2/gmR+g5cyp1wMrk0zdTa/1AxSF30jS2NBGj/2D2RmAptNrX06vPf0SFxNBWC+nzfVJ2lzpNaEsCL+TND2oAYXmxFphJvJDdKWVv8FBoPsMGliQ89SRBDpCJDDVV2BlS6vrCgr73kZXvkHBTnRabIvrGkytIGfjyw+p31pUzt9+RD6J1stRzc0sfKma3p6ZNNQuyNlKq4Ek0BEihegKrEObn2VhUzW+Ge1TrphgJoUs1TS6v0m17xcUhv8em2Yb0qs46vwUPfazczq+fNBnOxV74EiSq2Z6bL6SEGM1tChgb8/McS8KmIwEOkKkIVo5ubfxAPO79+JoOEgDjbQgqazRCFpqOei+A6vZjt1sxaCAgGX25KjpokxsZhsaJkG9YkLWUem0X0h54G9xF49HE1odjrXjPCqRjwb2ryrvPoMG94Jx6V81EhPvFSrEBBUJdoDGvcywz0UzoDnXg5rkwvo0wvq0XA8jPUpRFnyW6f6nsal2AMJaER2OtRxzXDqhAp6gpYbDBf+Hmd4HUajYlZ1ouupwwRcIWmpzOUQxyU3kVNVQE+eVKYQQE5VSVPt+Rnlw46ApvlbVS4X/D7jCezlU+GXQLDkb4lC99mXstXyfsuBzFIb6q1zbltBpXyN9mcSYTPRU1VAS6AghRAoFxh7KgxuB4akgDUVReBcloVfptp87/oNLImSp5KjrSnDleiQiX0yGVNVQEugIMUJHm8P4+vajztLxWpB5OlNAaWBD0vo/Co2ywIYJF+gIkSmTKVU1lAQ6QoxAdFIym5+laNthZjZ3cvhcCXbyncM4nLTIoYbCbsqMLZGfhqaqmt1r0JfMnrCpqqEk0BFihIauwOLlnRya3yzFBPOYobtRppa0CJ+J1P4R+SfahbyuwUG4fgnNtYvR507sVNVQEugIMQrRYoIN66GoPszCpsO8119MUOrr5J8e2woKw28nvF+h020/ZxxHJER2xUtV9dYunhSpqqEk0BFiDKLFBCsbN3KeMZ9mWXKel7rt5zA98BQ2s31YCkuhY2ouOh0X5mh0QmTWZE9VDSU1wIUQIgWlOdnv/jcC+szI9+goIkvJQ1o5+91fI6yX5XKIQmTEvvr1eHZsZubL7ZFUlXvNpEtVDSVXdIQQIg1hfTr7ir5LgVFPYegtNEy81oX0WU8HTT4zisktn1JVQ0mgI0SG+Pa3QG11rochsknT8FpPwms9KdcjESJj8i1VNZQEOkJkQAMLmN8N/lffwDM/IB3OhRCTQj6sqkpFAh0hxijuCqyVzdLhXAgxYUWv4sxvAH3bxG/jMBYS6AiRIdEVWL2NB1j40gZ8M9qlmKAQYsIZmKrSm8piqap8uoozkAQ6QmRQtMN5c+MaiurfZSa7OTS/WVJZYtzYzDZKgi9hM49haEV02z9EwDIr18MSE8RUSFUNJYGOEBkWTWW1roeieiSVJcaHUlT4/5fpgSeItB7VAMX0wJ/psp1Nc8FNoMmf/KlqKqWqhpLfeiGyRFJZYiysZjulwRdwGocwcdBrW0qvbWnCYKUs+DcqAn/s/25wq4qS0BZMXwEtBddnedRiIhrYcXwqpKqGkkBHiCySVJYYjdLARmp8/9P/nQI0SkMvE9BrOOD+V8L6tMEPUAYV/icS7k9DURZ8njbnJzD00mwNW0xAUzFVNZQEOkJkWTSV1VY/m8LNkVSWeRY0SCpLxFEYepNa338PuTVyhcZutjK7714aiu4fVKTQZTRgVd0p9mxSFNpJl+P8zA5Y5FxLZ33c26dqqmooCXSEGCcDu57XbtvAzOZOSWWJYaYF/oRCH9ZTC0DDxGE24Q7vos92Zux2XQXT2LOGRjrbickkmpZa4Ksddl+geWqsqkpFAh0hxpGksqYoFaYkuJmy4EbsZiuGVkSXfSWd9gswdXdsM00FcSfpkg6gsOAO7RwU6AQstSg0tCFzcwbSULFeXSI/RNNSyxrmE+iuGHa/p7l2SqaqhpJAR4hxJqmsqUVTAWb1fZdC491YMGJRPVT6f0N54Fn2u79OyBJ5k9IIp7FHhU5o0C1hvZxe65kUhXfGvRKk0AjpldK6Ik8MXUF1qKcMzzmrh284lymZqhpKAh0hciReKuvQ/GZazpRUVj6p9P2GAmMPQOyKiwaAwqq6mOn9IY1F3wbAxEVQm4ZNtfdvE4/Cb5kz7NaWgutw9TZgVT2Dgp1Ip3UrTQW3gJZ4r2LiiQY0Q0UnF0taKj0S6AiRQ0NTWXXs5hCbJZWVJzTlpyz4fMKUkoaJy9iHM9yA3zofNI1Oxzoq/b9m6BJxiFyZUdjosp077L6wPp3Gou8w3f8kpcEX0Qmg0OmxfZA258cJWiRtNZlE01LnGedEGgYPMp9D9WU050l38WyTQEeIHJNUVv5yGgfRU0wAVmgUhPdEAh2g3bGOwvCbFIZ3w4B5N4rIKqumgpsx9cK4+wrrZbQUfJYW19VYlBdTc6E0W+ZOSGTd0E7iXW6DwNyVg7Y53BhCPyd/uotnmwQ6QkwQksrKR3rqTWBwSkmzcrDwK5QFN1AeeBaH2YLCQo/tA7Q7PhoLiJLvz4qhFY9uyCJnBhb2c0XTUnNnD9tOn4ukqkZAAh0hJpBkqax4JL01sfktszBwYcGXcBsNhcd68pAbrXQ61tHpWAfKAHSZXzNJ7atfn/a20RVUkpbKLAl0hJhg4qWySme4hm3XUeuT9NYEpzQ7HY61TA88FXeejkLHY12cvOmmZsniCEW2DExB1ZDe/KiupugKqqlZ2C9bJNARYoIamMpqjlP0trZJ0luTQZvzEziMwxSH34gVAlT9DTeDeg1NBV/I9RBFhg1MQZV3n8E7LEjvgW5kBVUWSKAjxAQWvboTT/N6KKp/l2V08np/equgeu6w7SQAyjHNyuHCf8Ed3kVp4AXsZguGVkyX/Vx67GejNHuuRyhSSNRiIR5vSyOquZmFL0XaLjTULpAUVI5JoCPEJBXtjn5o87MsbKrGN6Mdx/Aq8DTMb5T0Vq5pOn22MwdVMxaTw8DifOkINEdWS03l3lITjQQ6QkxiA9Nb87v3Mq188Eqbvo4GAs2HJb0lxCgMTEHNKj8vrce0d/fQ4F4gKagJRAIdISa5aHqrYT00DFucVUlR8+D0lqzUEiK56FWcgSmo12sr03x0paSqJhgJdITIE4n+uA5Nb+3rX6kVj1zxEflqpPNsogX7oi0WJAU1eUmgI0SeG1SIsGkDM1+OP5dnr0vSWyI/RdspLPDF+cWPI9DcTnn3GZEU1BTv/J0PJNARYgqIpreiK7XKu4e/9JeVuCS9JfLK0BSUy52kXtEAnuZaWS2VRyTQEWIKia7UildnuTBOekuu7ojJamjPqETtFOKai6Sq8ogEOkJMMYkuww9cvcXLOzk0vzlu6wkJgMREkqjFgmpupq7BQbh+Cc21iyUFNYVJoCOEAAav3iqqDydsPfH6/OPFCSXgEbkyMC21rGF4o9Ou/lo2vdIzasqTQEcIMUg0vdXbeAC93DboPkdjPQtf8uCb0c7hc6EFmbwsxt/QtFTPkpXDtmnuDslqKQFIoCOEiCPWRX3oHXNrMYekt1oSFPuVAEhkQ3QF1aC0FMNXU+lzE6dpxdQigY4QIq6EbxJD0lumrxFtzuC6PHstjexrkfSWyJyBrRj0bdJiQaRPAh0hxIgNTG/VbttAaXPLoPvPwsURDkt6S2TEwFSV3lQWK+InV2xEOiTQEUKMSiy91biG5u7h989ncHpLgh0xGnFTVbKCSoyABDpCiFGLrtSKZ2B66z2Or9SKR4IgMZSkqkSmSKAjhMiKgemthS9twDcjfuuJhvmS3hKDDewaLqkqMVYS6AghsmZgeitR64mZzceLE0rrCSGpKpFpEugIIbIqmt6K13rCbDxwPL21sllaT0xhkqoS2SKBjhBiXMT9RN4fAA1Mb0VXasUjAdDk19JZH/d2SVWJbJFARwiRU0PTW2fRSUecHlt7XZLemuyiaakFvuGTtcqb53OovkxSVSLjJNARQuTcwPTWoc3PUtldMWybhX0m5lnQIOmtSWdoWsrlnjVsm0PNYUlViayQQEcIMWFEru6sHTaXByLzeWq3bWBmc6cUIpxE4q6gmjt7+IbSskFkiQQ6QogJJdGb3cD01kx2x1ZqxSPprYkhmqpa1nA8LSWdxMV4k0BHCDEpDExvFW6GhU2HKZ3hGrZdR61P0ls5NrS7+KGeMklLiZyRQEcIMalE01u9jQfitp6obYqkt6T1RG4MTFW5ZAWVmAAk0BFCTDqJWk+01R+Lpbfq2M2hJK0nJAAam3jLxL0tjZKqEhNO1gKdb3/72/zlL39h165d2O12urq6Uj5GKcXdd9/NT3/6U7q6ujjnnHP4z//8T0444YRsDVMIkUfipbfMs0Azhm+7t0XSW6MRTUstMIYHj/5XJVUlJp6sBTrBYJBPfvKTrFixgp/97GdpPeb+++/nwQcf5Oc//zlz587la1/7GmvXruWdd97B6XRma6hCiDwzML1Vu20Dpc3DSxDOpF3SWyM0MC1VxvD5UYHuM2hwL5BUlZhQshbofOMb3wDg0UcfTWt7pRQ//OEPueuuu7j00ksB+MUvfkFVVRVPPvkkl19+edzHBQIBAoFA7Pvu7kjS3uPpHcPohRCTnavODnUn8P7fPNA6/H53i5MT/V1s977Asep65iy6aPwHOYns3/M3VEsLSxvncnhPKYerF8bdrvKiyBX4vr6e8RyeyAPR922lVEb3O2Hm6DQ2NtLS0sKaNWtit5WUlLB8+XK2bNmSMNC59957Y0HVQGsuWZC1sQoh8tF3cj2A/CA/RjFG7e3tlJSUZGx/EybQaWmJXFquqqoadHtVVVXsvnjuvPNObrvtttj3XV1dzJ49m4MHD2b0BzXR9fT0UFdXx6FDhyguLs71cMaNnLec91Qg5y3nPRV0d3cza9YsysvLM7rfEQU6d9xxB/fdd1/Sberr61m8ePGYBjUSDocDh8Mx7PaSkpIp9QsSVVxcLOc9hch5Ty1y3lPLVD1vXdczur8RBTpf+tKXuO6665JuM2/evFENpLq6GoDW1lZqampit7e2tnL66aePap9CCCGEmNpGFOhUVFRQUTG82V4mzJ07l+rqajZu3BgLbHp6eti6dSs33XRTVo4phBBCiPyW2etDAxw8eJBdu3Zx8OBBDMNg165d7Nq1i76+vtg2ixcv5oknngBA0zRuvfVWvvWtb/GnP/2J3bt3c80111BbW8tll12W9nEdDgd333133HRWPpPzlvOeCuS85bynAjnvzJ63pjK9jqvfddddx89//vNht7/wwgusWrUqcnBN45FHHomlw6IFA3/yk5/Q1dXFhz70IX70ox+xcGH8ZYxCCCGEEMlkLdARQgghhMi1rKWuhBBCCCFyTQIdIYQQQuQtCXSEEEIIkbck0BFCCCFE3sqLQOfb3/42Z599NgUFBZSWlqb1mOuuuw5N0wZ9rVu3LrsDzbDRnLdSin/7t3+jpqYGl8vFmjVreP/997M70Azr6OjgyiuvpLi4mNLSUq6//vpBZQviWbVq1bDn+/Of//w4jXh0Hn74YebMmYPT6WT58uW8/vrrSbf//e9/z+LFi3E6nSxZsoT169eP00gzayTn/eijjw57Xp1O5ziONjNeeuklPvrRj1JbW4umaTz55JMpH7Np0ybOPPNMHA4HCxYsSLuB8kQy0vPetGnTsOdb07SkbYImmnvvvZezzjqLoqIiKisrueyyy9izZ0/Kx0321/dozjtTr++8CHSCwSCf/OQnR1xYcN26dRw5ciT29fjjj2dphNkxmvO+//77efDBB/nxj3/M1q1bKSwsZO3atfj9/iyONLOuvPJK3n77bZ577jmefvppXnrpJW688caUj7vhhhsGPd/333//OIx2dH77299y2223cffdd7Njxw5OO+001q5dy9GjR+Nu/+qrr3LFFVdw/fXXs3PnTi677DIuu+wy3nrrrXEe+diM9LwhUiZ/4PN64MCBcRxxZng8Hk477TQefvjhtLZvbGzkkksu4fzzz2fXrl3ceuut/NM//RPPPvtslkeaWSM976g9e/YMes4rKyuzNMLMe/HFF7n55pt57bXXeO655wiFQlx00UV4PJ6Ej8mH1/dozhsy9PpWeeSRRx5RJSUlaW177bXXqksvvTSr4xkv6Z63aZqqurpafe9734vd1tXVpRwOh3r88cezOMLMeeeddxSgtm3bFrvtr3/9q9I0TTU1NSV83Hnnnae++MUvjsMIM2PZsmXq5ptvjn1vGIaqra1V9957b9ztP/WpT6lLLrlk0G3Lly9Xn/vc57I6zkwb6XmP5DU/WQDqiSeeSLrNV77yFXXyyScPuu3Tn/60Wrt2bRZHll3pnPcLL7ygANXZ2TkuYxoPR48eVYB68cUXE26TL6/vgdI570y9vvPiis5obdq0icrKShYtWsRNN91Ee3t7roeUVY2NjbS0tLBmzZrYbSUlJSxfvpwtW7bkcGTp27JlC6WlpXzgAx+I3bZmzRp0XWfr1q1JH/vYY48xffp0TjnlFO688068Xm+2hzsqwWCQ7du3D3qedF1nzZo1CZ+nLVu2DNoeYO3atZPmeYXRnTdAX18fs2fPpq6ujksvvZS33357PIabU/nwfI/F6aefTk1NDRdeeCGbN2/O9XDGpLu7GyBpx+58fL7TOW/IzOt7ygY669at4xe/+AUbN27kvvvu48UXX+TDH/4whmHkemhZE81jV1VVDbq9qqpq0uS4W1pahl2mtlqtlJeXJz2Hz3zmM/zqV7/ihRde4M477+SXv/wlV111VbaHOyrHjh3DMIwRPU8tLS2T+nmF0Z33okWL+J//+R+eeuopfvWrX2GaJmeffTaHDx8ejyHnTKLnu6enB5/Pl6NRZV9NTQ0//vGP+cMf/sAf/vAH6urqWLVqFTt27Mj10EbFNE1uvfVWzjnnHE455ZSE2+XD63ugdM87U6/vETX1HE933HEH9913X9Jt6uvrWbx48aj2f/nll8f+vWTJEk499VTmz5/Ppk2bWL169aj2mQnZPu+JKt3zHq2Bc3iWLFlCTU0Nq1evpqGhgfnz5496vyK3VqxYwYoVK2Lfn3322Zx44on813/9F/fcc08ORyayYdGiRSxatCj2/dlnn01DQwM/+MEP+OUvf5nDkY3OzTffzFtvvcUrr7yS66GMq3TPO1Ov7wkb6HzpS1+K9cBKZN68eRk73rx585g+fTp79+7NaaCTzfOurq4GoLW1lZqamtjtra2tsY7xuZLueVdXVw+bmBoOh+no6IidXzqWL18OwN69eydcoDN9+nQsFgutra2Dbm9tbU14jtXV1SPafiIazXkPZbPZOOOMM9i7d282hjhhJHq+i4uLcblcORpVbixbtmxSBgq33HJLbDHFzJkzk26bD6/vqJGc91CjfX1P2ECnoqKCioqKcTve4cOHaW9vHxQA5EI2z3vu3LlUV1ezcePGWGDT09PD1q1bR7xiLdPSPe8VK1bQ1dXF9u3bWbp0KQDPP/88pmnGgpd07Nq1CyDnz3c8drudpUuXsnHjRi677DIgcql348aN3HLLLXEfs2LFCjZu3Mitt94au+25554b9GloohvNeQ9lGAa7d+/m4osvzuJIc2/FihXDlhdPtuc7U3bt2jUhX8eJKKX4whe+wBNPPMGmTZuYO3duysfkw+t7NOc91Khf32OezjwBHDhwQO3cuVN94xvfUG63W+3cuVPt3LlT9fb2xrZZtGiR+uMf/6iUUqq3t1d9+ctfVlu2bFGNjY1qw4YN6swzz1QnnHCC8vv9uTqNERvpeSul1He/+11VWlqqnnrqKfXmm2+qSy+9VM2dO1f5fL5cnMKorFu3Tp1xxhlq69at6pVXXlEnnHCCuuKKK2L3Hz58WC1atEht3bpVKaXU3r171Te/+U31xhtvqMbGRvXUU0+pefPmqZUrV+bqFFL6zW9+oxwOh3r00UfVO++8o2688UZVWlqqWlpalFJKXX311eqOO+6Ibb9582ZltVrVAw88oOrr69Xdd9+tbDab2r17d65OYVRGet7f+MY31LPPPqsaGhrU9u3b1eWXX66cTqd6++23c3UKo9Lb2xt7/QLq+9//vtq5c6c6cOCAUkqpO+64Q1199dWx7fft26cKCgrU7bffrurr69XDDz+sLBaLeuaZZ3J1CqMy0vP+wQ9+oJ588kn1/vvvq927d6svfvGLStd1tWHDhlydwojddNNNqqSkRG3atEkdOXIk9uX1emPb5OPrezTnnanXd14EOtdee60Chn298MILsW0A9cgjjyillPJ6veqiiy5SFRUVymazqdmzZ6sbbrgh9sd0shjpeSsVWWL+ta99TVVVVSmHw6FWr16t9uzZM/6DH4P29nZ1xRVXKLfbrYqLi9VnP/vZQcFdY2PjoJ/DwYMH1cqVK1V5eblyOBxqwYIF6vbbb1fd3d05OoP0PPTQQ2rWrFnKbrerZcuWqddeey1233nnnaeuvfbaQdv/7ne/UwsXLlR2u12dfPLJ6i9/+cs4jzgzRnLet956a2zbqqoqdfHFF6sdO3bkYNRjE102PfQreq7XXnutOu+884Y95vTTT1d2u13Nmzdv0Ot8shjped93331q/vz5yul0qvLycrVq1Sr1/PPP52bwoxTvfIf+nc7H1/dozjtTr2+tfwBCCCGEEHlnyi4vF0IIIUT+k0BHCCGEEHlLAh0hhBBC5C0JdIQQQgiRtyTQEUIIIUTekkBHCCGEEHlLAh0hhBBC5C0JdIQQQgiRtyTQEUIIIUTekkBHCCGEEHlLAh0hhBBC5K3/H9/rU/H1+CwyAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1. 导入依赖\n",
    "from sklearn.datasets import make_moons\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "# 2. 定义数据\n",
    "X, y = make_moons(n_samples=200, noise=0.2, random_state=42)\n",
    "# plot_data(X,y,[-1.5, 2.5, -1, 1.5])\n",
    "\n",
    "# 3. 定义流水线\n",
    "svm_clf = Pipeline([\n",
    "    ('scaler', StandardScaler()),\n",
    "    ('svm_clf', SVC(kernel='rbf', gamma=5, C=0.001))\n",
    "])\n",
    "\n",
    "# 4. 训练模型\n",
    "svm_clf.fit(X, y)\n",
    "\n",
    "# 5. 绘制决策边界\n",
    "plot_predictions(svm_clf, [-1.5, 2.5, -1, 1.5])\n",
    "plot_data(X, y, [-1.5, 2.5, -1, 1.5])\n",
    "plt.show()\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:14.628187100Z",
     "start_time": "2024-08-29T07:47:14.456207500Z"
    }
   },
   "id": "26ecd6a7e7989411"
  },
  {
   "cell_type": "markdown",
   "source": [
    "探究不同参数对高斯核函数的影响"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "dd2daaac0733cf2f"
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1100x700 with 4 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1. 导入依赖，定义数据，定义参数\n",
    "from sklearn.datasets import make_moons\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "X, y = make_moons(n_samples=200, noise=0.2, random_state=42)\n",
    "gamma1,gamma2 = 0.1 , 5\n",
    "C1,C2 = 0.001, 1000\n",
    "hyperparams = (gamma1,C1), (gamma1,C2), (gamma2,C1), (gamma2,C2)\n",
    "\n",
    "# 2. 定义模型\n",
    "svm_clfs = []\n",
    "for gamma, C in hyperparams:\n",
    "    svm_clf = Pipeline([\n",
    "        ('scaler', StandardScaler()),\n",
    "        ('svm_clf', SVC(kernel='rbf', gamma=gamma, C=C))\n",
    "    ])\n",
    "    svm_clf.fit(X, y)\n",
    "    svm_clfs.append(svm_clf)\n",
    "\n",
    "# 3. 训练模型，绘制图像\n",
    "plt.figure(figsize=(11,7))\n",
    "for i, svm_clf in enumerate(svm_clfs):\n",
    "    plt.subplot(221+i)\n",
    "    plot_predictions(svm_clf, [-1.5, 2.5, -1, 1.5])\n",
    "    plot_data(X, y, [-1.5, 2.5, -1, 1.5])\n",
    "    gamma, C = hyperparams[i]\n",
    "    plt.title(f\"gamma={gamma}, C={C}\")\n",
    "plt.show()\n",
    "\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-08-29T07:47:26.705000900Z",
     "start_time": "2024-08-29T07:47:26.022910100Z"
    }
   },
   "id": "a71e576a093b4ae1"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
